Cloud Vision API can automatically identify and flag explicit or inappropriate content within an image using five categories: adult, spoof, medical, violence, and racy. The API provides a score that indicates the likelihood for each category in the image, which you can use to set thresholds in your application and decide how to handle those ...Try it for yourself. If you're new to Google Cloud, create an account to evaluate how Cloud Vision API performs in real-world scenarios. New customers also …Process the Cloud Vision API response; Running the app for document text detection; Running the app for face detection; Send a request for face detection; Set endpoint; ... ('@google-cloud/vision'); // Creates a client const client = new vision.ImageAnnotatorClient(); /** * TODO(developer): Uncomment the following line …Use the Vision API on the command line to make an image annotation request for multiple features with an image hosted in Cloud Storage. Getting started with the Vision API (Java) Learn the fundamentals of Vision API by detecting labels in an image programmatically using the Java client library.The Vision API can detect and extract information about entities in an image, across a broad group of categories. Labels can identify general objects, locations, activities, animal species, products, and more. If you need targeted custom labels, Cloud AutoML Vision allows you to train a custom machine learning model to classify images.Other important factors to consider when researching alternatives to Google Cloud Vision API include customization and features. We have compiled a list of solutions that reviewers voted as the best overall alternatives and competitors to Google Cloud Vision API, including Clarifai, Microsoft Computer Vision API, OpenCV, and Amazon Rekognition.README. Idiomatic PHP client for Cloud Vision. API documentation. NOTE: This repository is part of Google Cloud PHP. Any support requests, bug reports, or development contributions should be directed to that project. Allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark ...Insight. Cloud Vision detects faces, logos, and objects in your image. It also detects the associated emotions by returning to positions of eyes, nose, and mouth of the faces in your image. The more you work with this technology, the more it adapts to your environment and better the accuracy. Cloud Vision doesn’t touch privacy-sensitive face ...Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. Llama 3 models will soon be available on AWS, …Mar 5, 2024 · Google Cloud Vision API client library. Cloud Vision: allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content. Cloud Vision API's text recognition feature is able to detect a wide variety of languages and can detect multiple languages within a single image. Providing a language hint to the service is not required, but can be done if the service is having trouble detecting the language used in your image. With the release of Handwriting OCR GA images ...The Vision API can provide online (immediate) annotation of multiple pages or frames from PDF, TIFF, or GIF files stored in Cloud Storage. You can request online feature detection and annotation of 5 frames (GIF; "image/gif") or pages (PDF; "application/pdf", or TIFF; "image/tiff") of your choosing for each file.For more information, see Set up authentication for a local development environment . // localizeObjects gets objects and bounding boxes from the Vision API for an image at the given file path. ctx := context.Background() client, err := vision.NewImageAnnotatorClient(ctx) f, err := os.Open(file) defer f.Close() Service that performs Google Cloud Vision API detection tasks over client images, such as face, landmark, logo, label, and text detection. The ImageAnnotator service returns detected entities from the images. rpc AsyncBatchAnnotateFiles( AsyncBatchAnnotateFilesRequest) returns ( Operation) Run asynchronous image detection and annotation for a ... 6 days ago · Step 1: Create a Product Catalog. Users have two options for creating a product catalog, either via batch import using a CSV file, which allows an entire product catalog to be imported in a single API call, or via online import, which offers you control over your product sets and allows for management of one resource or relationship at a time ... Vision API provides powerful pre-trained models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces,... 1. Overview. The Google Cloud Vision API allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical...Use the Vision API to detect text and global landmarks in a given image. Some standards you should follow: Ensure that any needed APIs (such as Cloud Vision, Cloud Translation, and Cloud Natural Language) are successfully enabled. Create all resources in the region, unless otherwise directed. Each task is described in detail below. Task 1.The Google Cloud Vision API is a powerful tool that helps developers build apps with visual detection features, including image labeling, face and landmark …Apr 8, 2024 · Recent Google Cloud Vision API Reviews. MC. Manoj C. Small-Business (50 or fewer emp.) 4/8/2024. 4.0 out of 5. "OCR is awesome". It is easy to filter the data like images and documents through our website instead of using human requirement. Read more. SK. 今回、Google Cloud Vision API を使用して画像内の日本語テキストを読み取ってみて、次のことがわかりました。. 縦書きでも横書きでも読み取れる. ただし文字部分の背景が複雑な画像だと本来存在しない文字を読み取ってしまうので、なるべく背景は単 …Enable the Google Cloud Vision API using this link. Go to Credentials section from the side menu on the left. Click on the credentials drop down menu and select OAuth Client ID: Select application ...Apr 4, 2023 · Environment setup. Before you can begin using the Vision API, run the following command in Cloud Shell to enable the API: You should see something like this: Now, you can use the Vision API! Navigate to your home directory: Create a Python virtual environment to isolate the dependencies: Activate the virtual environment: Step 3 Try to Use API with Python. ###Make sure you have enabled the Cloud Vision API### import io import os # Imports the Google Cloud client library from google.cloud import vision from google.cloud.vision import types # Importantance:set your json file in this part, I try to follow official guide but it didn't work, use below …A guide to Google's Cloud Vision. By Richard Mattka. ( netmag ) last updated 16 December 2020. Learn how to use Google's AI-powered Cloud Vision API …Sunday April 21, 2024 5:35 am PDT by Hartley Charlton. Apple is developing its own large language model (LLM) that runs on-device to prioritize speed and privacy, …6 days ago · Step 1: Create a Product Catalog. Users have two options for creating a product catalog, either via batch import using a CSV file, which allows an entire product catalog to be imported in a single API call, or via online import, which offers you control over your product sets and allows for management of one resource or relationship at a time ... Setting up Google Vision API. 1. Sign in with your Gmail ID in the Google Cloud Console. 2. To create a project, click on “Select a Project” and then click “New Project”. Choose the name for your project and click “Create”. Back on the main page, select the project you have just created. 3.{ # The type of Google Cloud Vision API detection to perform, and the maximum # number of results to return for that type. Multiple `Feature` objects can # be specified in the `features` list. "model": "A String", # Model to use for the feature. # Supported values: "builtin/stable" (the default if unset) and # "builtin/latest". ...Vision API includes the following beta features in version v1p4beta1: Celebrity recognition in image files. Learn more. You can also refer to the v1p4beta1 reference documentation: REST and RPC. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under ...Cloud Vision API provides powerful Image Analytics capabilities as easy to use APIs. It enables application developers to build the next generation of applic...To avoid interfering with macOS, we recommend creating a separate development environment and installing a supported version of Python for Google Cloud. To install Python, use homebrew. To use homebrew to install Python packages, you need a compiler, which you can get by installing Xcode's command-line tools. xcode-select - … Cloud Vision | Google Cloud. On this page. Vision API. AutoML Vision. Vision Product Search. Cloud Vision includes several options that you can use to integrate machine learning... Google Cloud Vision OCR. UiPath.Core.Activities.GoogleCloudOCR. Extracts a string and its information from an indicated UI element or image using the Google Cloud OCR engine. It can be used with other OCR activities, such as Click OCR Text, Double Click OCR Text, Hover OCR Text, Get OCR Text, and Find OCR Text …Detect Landmarks in a remote image. You can use the Vision API to perform feature detection on a remote image file that is located in Cloud Storage or on the Web. To send a remote file request, specify the file's Web URL or Cloud Storage URI in the request body. Caution: When fetching images from HTTP/HTTPS URLs, Google cannot …6 days ago · Detect Image Properties in a remote image. You can use the Vision API to perform feature detection on a remote image file that is located in Cloud Storage or on the Web. To send a remote file request, specify the file's Web URL or Cloud Storage URI in the request body. The ColorInfo field does not carry information about the absolute color ... The Vision API can detect and transcribe text from PDF and TIFF files stored in Cloud Storage. Document text detection from PDF and TIFF must be requested using the files:asyncBatchAnnotate function, which performs an offline (asynchronous) request and provides its status using the operations resources. Output from a PDF/TIFF request is …compile 'com.google.cloud:google-cloud-vision:1.84.0' We don’t need to explicitly use api key or access token for accessing your cloud vision api from your application.web_detection = client.web_detection(image=image).web_detection. Now that our Vision API service is ready, we can construct a request to the service. This code snippet performs the following tasks: Creates an ImageAnnotatorClient instance as the client. Constructs an Image object from either a local file or a URI.The Video Intelligence API allows developers to use Google video analysis technology as part of their applications. The REST API enables users to annotate videos stored locally or in Cloud Storage, or live-streamed, with contextual information at the level of the entire video, per segment, per shot, and per frame. Learn more.Draw boxes around the text detected in a document. import argparse from enum import Enum from google.cloud import vision from PIL import Image, ImageDraw class FeatureType(Enum): PAGE = 1 BLOCK = 2 PARA = 3 WORD = 4 SYMBOL = 5 def draw_boxes(image, bounds, color): """Draws a border around the image using the hints …The Cloud Vision API offered by Google Cloud Platform is an API for common Computer Vision tasks such as image classification, object detection, text …The Google Cloud Vision API is a powerful tool that helps developers build apps with visual detection features, including image labeling, face and landmark …6 days ago · A quota restricts how much of a shared Google Cloud resource your Google Cloud project can use, including hardware, software, and network components. Therefore, quotas are a part of a system that does the following: Monitors your use or consumption of Google Cloud products and services. Restricts your consumption of those resources, for reasons ... Cloud Vision API Stay organized with collections Save and categorize content based on your preferences. Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications.Sep 12, 2023 · 今回、Google Cloud Vision API を使用して画像内の日本語テキストを読み取ってみて、次のことがわかりました。. 縦書きでも横書きでも読み取れる. ただし文字部分の背景が複雑な画像だと本来存在しない文字を読み取ってしまうので、なるべく背景は単色が良い ... Process the Cloud Vision API response; Running the app for document text detection; Running the app for face detection; Send a request for face detection; Set endpoint; ... ('@google-cloud/vision'); // Creates a client const client = new vision.ImageAnnotatorClient(); /** * TODO(developer): Uncomment the following line …In this demo is shown how using Cloud Vision API, it is a resource that allows developers to easily integrate vision detection features within applications, ...We would like to show you a description here but the site won’t allow us.Type. Type of Google Cloud Vision API feature to be extracted. Unspecified feature type. Run face detection. Run landmark detection. Run logo detection. Run label detection. Run text detection / optical character recognition (OCR). Text detection is optimized for areas of text within a larger image; if the image is a document, use …Detect Faces in a remote image. You can use the Vision API to perform feature detection on a remote image file that is located in Cloud Storage or on the Web. To send a remote file request, specify the file's Web URL or Cloud Storage URI in the request body. When fetching images from HTTP/HTTPS URLs, Google cannot guarantee that …Otherwise, we can process the results of the OCR step: # read the image again, this time in OpenCV format and make a copy of. # the input image for final output. image = cv2.imread(args["image"]) final = image.copy() # loop over the Google Cloud Vision API OCR results. for text in response.text_annotations[1::]:TextAnnotation. TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties. Google Cloud Tech Youtube Channel Try Gemini 1.5 Pro , our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 Pro , our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Object detection and tracking. With ML Kit's on-device object detection and tracking API, you can detect and track objects in an image or live camera feed. Optionally, you can classify detected objects, either by using the coarse classifier built into the API, or using your own custom image classification model.Cloud Vision API 1.1 (beta) Cloud Vision is one of our fastest growing APIs. Since we launched it in April 2016, the API has enabled developers to extract metadata from over 1 billion images. Today, we're introducing new capabilities for enterprises and partners to help them classify a more diverse set of images.Google Cloud Vision API Features. What are the features of Google Cloud Vision API? Recognition Type. Emotion Detection. Object Detection. Text Detection. Motion …The Video Intelligence API allows developers to use Google video analysis technology as part of their applications. The REST API enables users to annotate videos stored locally or in Cloud Storage, or live-streamed, with contextual information at the level of the entire video, per segment, per shot, and per frame. Learn more.Apr 17, 2024 · The Video Intelligence API allows developers to use Google video analysis technology as part of their applications. The REST API enables users to annotate videos stored locally or in Cloud Storage, or live-streamed, with contextual information at the level of the entire video, per segment, per shot, and per frame. Learn more. Detect Image Properties in a remote image. You can use the Vision API to perform feature detection on a remote image file that is located in Cloud Storage or on the Web. To send a remote file request, specify the file's Web URL or Cloud Storage URI in the request body. The ColorInfo field does not carry information about the absolute color ...APIとサービスの有効化をクリックする. cloud vision apiで検索する. Cloud Vision API を有効にする. この画面になれば OK です. APIキーを発行する. 認証情報を開く. APIキーを発行する. API Key が発行されるので、こちらをコピーして利用しましょう。Cloud Vision API can automatically identify and flag explicit or inappropriate content within an image using five categories: adult, spoof, medical, violence, and racy. The API provides a score that indicates the likelihood for each category in the image, which you can use to set thresholds in your application and decide how to handle those ...Text Detection Using the Vision API. This sample uses TEXT_DETECTION Vision API requests to build an inverted index from the stemmed words found in the images, and stores that index in a Redis database. The resulting index can be queried to find images that match a given set of words, and to list text that was found in each matching image.So Google Vision AI is one of the Google cloud products to simplify image analytics and classification based on its own trained models. Some the things we ca...To use a service account to authenticate to the Vision API: Follow the instructions to create a service account . Select JSON as your key type. Once complete, your service account key is downloaded to your browser's default location. Next, decide whether you'll provide your service account authentication as a bearer token or using …Pros: I use cloud vision in editing personal images. It has great features that allows me to edit different pictures in different designs and shapes. The product also offers a storage for different files in cloud. Cons: The customer care personnel are …{ # The type of Google Cloud Vision API detection to perform, and the maximum # number of results to return for that type. Multiple `Feature` objects can # be specified in the `features` list. "model": "A String", # Model to use for the feature. # Supported values: "builtin/stable" (the default if unset) and # "builtin/latest". ...6 days ago · Authenticate to Vision. Google Cloud services use Identity and Access Management (IAM) for authentication. IAM permissions and roles offer granular control, by principal and by resource. To use the Vision API, the security principal usually needs the Cloud Storage > Storage object viewer ( roles/storage.objectViewer ) predefined IAM role to ... The Vision API can detect and transcribe text from PDF and TIFF files stored in Cloud Storage. Document text detection from PDF and TIFF must be requested using the files:asyncBatchAnnotate function, which performs an offline (asynchronous) request and provides its status using the operations resources. Output from a PDF/TIFF request is … Google Cloud Tech Youtube Channel Try Gemini 1.5 Pro , our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 Pro , our most advanced multimodal model in Vertex AI, and see what you can build with a 1M token context window. Analyze text with AI using pre-trained API or custom AutoML machine learning models to extract relevant entities, understand sentiment, and more.In the next sections, you will see how to use Vision API in Python. Vision API Client Library for Python. The first step for using the Python variant of Vision API, you will have to install it. The best way to install it is through pip.!pip install google-cloud-vision One the installation is successful, the next step is to verify if it is ...Use the Vision API on the command line to make an image annotation request for multiple features with an image hosted in Cloud Storage. Getting started with the Vision API (Java) Learn the fundamentals of Vision API by detecting labels in an image programmatically using the Java client library.Cloud Vision API: Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications. This page contains information about getting started with the Cloud Vision API by using the Google API Client Library for .NET.Native Dart package that integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications. Google Vision Images REST API Client. Project Status. Recent Changes. New for v1.2.0. New for v1.0.8. New for v1.0.7. Getting …Native Dart package that integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications. Google Vision Images REST API Client. Project Status. Recent Changes. New for v1.2.0. New for v1.0.8. New for v1.0.7. Getting …It's best to use a single product set for all of your items, and create additional product sets for testing as you need. The following code samples show you how to create an empty product set. Before using any of the request data, make the following replacements: PROJECT_ID: Your Google Cloud project ID.Google Cloud Platform CLOUD VISION API——知乎是喵多还是汪多. 我们不生产代码，我们只是API的搬运工。. 当时玩爬虫的时候为了回答这个问题. 用狗的照片当头像是否比 … The Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. It quickly classifies images into thousands of categories (e.g., "sailboat", "lion", "Eiffel Tower"), detects individual objects and faces within images, and finds and reads printed words contained within images. The Video Intelligence API allows developers to use Google video analysis technology as part of their applications. The REST API enables users to annotate videos stored locally or in Cloud Storage, or live-streamed, with contextual information at the level of the entire video, per segment, per shot, and per frame. Learn more.Try it for yourself. If you're new to Google Cloud, create an account to evaluate how Cloud Vision API performs in real-world scenarios. New customers also …TextAnnotation. TextAnnotation contains a structured representation of OCR extracted text. The hierarchy of an OCR extracted text structure is like this: TextAnnotation -> Page -> Block -> Paragraph -> Word -> Symbol Each structural component, starting from Page, may further have their own properties.Vision API Product Search allows retailers to create products, each containing reference images that visually describe the product from a set of viewpoints. Retailers can then add these products to product sets. Currently Vision API Product Search supports the following product categories: homegoods, apparel, toys, packaged goods, …Object detection and tracking. With ML Kit's on-device object detection and tracking API, you can detect and track objects in an image or live camera feed. Optionally, you can classify detected objects, either by using the coarse classifier built into the API, or using your own custom image classification model.Pros: I use cloud vision in editing personal images. It has great features that allows me to edit different pictures in different designs and shapes. The product also offers a storage for different files in cloud. Cons: The customer care personnel are …Sep 12, 2023 · 今回、Google Cloud Vision API を使用して画像内の日本語テキストを読み取ってみて、次のことがわかりました。. 縦書きでも横書きでも読み取れる. ただし文字部分の背景が複雑な画像だと本来存在しない文字を読み取ってしまうので、なるべく背景は単色が良い ... 6 days ago · Detect Logos in a remote image. You can use the Vision API to perform feature detection on a remote image file that is located in Cloud Storage or on the Web. To send a remote file request, specify the file's Web URL or Cloud Storage URI in the request body. Caution: When fetching images from HTTP/HTTPS URLs, Google cannot guarantee that the ... Object detection and tracking. With ML Kit's on-device object detection and tracking API, you can detect and track objects in an image or live camera feed. Optionally, you can classify detected objects, either by using the coarse classifier built into the API, or using your own custom image classification model.In Glide, click the Settings icon in the upper-right corner. Navigate to the Integrations tab and then select Google Cloud Vision. Click the Add button. Enable the Vision API on your Google Cloud Project. Navigate to your Google Cloud Console API Credentials. Create and copy a new API Key for Glide.Console. Create an app in the Google Cloud console. Open the Applications tab of the Vertex AI Vision dashboard. Go to the Applications tab. Click the addCreate button. Enter an app name and choose your region. Supported regions. Click Create. In the application builder page, click the Application template node.
Other important factors to consider when researching alternatives to Google Cloud Vision API include customization and features. We have compiled a list of solutions that reviewers voted as the best overall alternatives and competitors to Google Cloud Vision API, including Clarifai, Microsoft Computer Vision API, OpenCV, and Amazon Rekognition.. Where can i watch how the gringo stole christmas
Vision API Product Search allows retailers to create products, each containing reference images that visually describe the product from a set of viewpoints. Retailers can then add these products to product sets. Currently Vision API Product Search supports the following product categories: homegoods, apparel, toys, packaged goods, …Build the app: Now you’ve finished setting up and start building the app. Install firebase: npm install -save firebase. 2. Create a new folder called config, and under it create a new file ...Draw boxes around the text detected in a document. import argparse from enum import Enum from google.cloud import vision from PIL import Image, ImageDraw class FeatureType(Enum): PAGE = 1 BLOCK = 2 PARA = 3 WORD = 4 SYMBOL = 5 def draw_boxes(image, bounds, color): """Draws a border around the image using the hints …Jun 20, 2017 · 3. Configuring the API Client. You must configure the Google API client before you use it to interact with the Cloud Vision API. Doing so primarily involves specifying the API key, the HTTP transport, and the JSON factory it should use. Based on our sample, Google Cloud Vision seems to detect misleading labels much more rarely, while Amazon Rekognition seems to be better at detecting individual objects such as glasses, hats, humans, or a couch. Overall, Vision detected 125 labels (6.25 per image, on average), while Rekognition detected 129 labels (6.45 per …Analytics Vidhya. ·. 3 min read. ·. Dec 27, 2020. Photo by David Travis. A step-by-step guide on setting up authentication and how to use Google Cloud Vision …The Vision API can detect and extract text from images: DOCUMENT_TEXT_DETECTION extracts text from an image (or file ); the response is optimized for dense text and documents. The JSON includes page, block, paragraph, word, and break information. One specific use of DOCUMENT_TEXT_DETECTION is to …Most development environments contain a native base64 utility to encode a binary into ASCII text data. To encode a file: macOS Windows PowerShell. Encode the file using the base64 command line tool, making sure to prevent line-wrapping by using the -w 0 flag: base64 INPUT_FILE -w 0 > OUTPUT_FILE. Create a JSON request file, inlining …Cloud Vision API allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content. ... The gem google-cloud-vision is the main client library that brings the verisoned gems in as dependencies, and ...Mar 5, 2024 · Google Cloud Vision API client library. Cloud Vision: allows developers to easily integrate vision detection features within applications, including image labeling, face and landmark detection, optical character recognition (OCR), and tagging of explicit content. Use the Vision API on the command line to make an image annotation request for multiple features with an image hosted in Cloud Storage. Getting started with the Vision API (Java) Learn the fundamentals of Vision API by detecting labels in an image programmatically using the Java client library.Analyze Images with the Cloud Vision API. 4 Labs. REQUIRED. APIs Explorer: Qwik Start. 30 minutes. Upload an image to Cloud Storage then make a request to the Vision API … Your page may be loading slowly because you're building optimized sources. If you intended on using uncompiled sources, please click this link. Label detection. Now you can use the Vision API to request information from an image, such as label detection. Run the following code to perform your first image label detection request. Before trying this sample, follow the Go setup instructions in the Vision quickstart using client libraries .Pros: I use cloud vision in editing personal images. It has great features that allows me to edit different pictures in different designs and shapes. The product also offers a storage for different files in cloud. Cons: The customer care personnel are …Explore all models in Model Garden. Model Garden is a platform that helps you discover, test, customize, and deploy Google proprietary and select OSS models and assets. To explore the generative AI models and APIs that are available on Vertex AI, go to Model Garden in the Google Cloud console. Go to Model Garden.6 days ago · A quota restricts how much of a shared Google Cloud resource your Google Cloud project can use, including hardware, software, and network components. Therefore, quotas are a part of a system that does the following: Monitors your use or consumption of Google Cloud products and services. Restricts your consumption of those resources, for reasons ... The Google Cloud Vision API uses machine learning to identify images from pre-trained models on huge datasets of images. It then classifies the images into thousands of categories to pick up on objects, …google.cloud.vision.v1.ImageAnnotator. Run asynchronous image detection and annotation for a list of generic files, such as PDF files, which may contain multiple pages and multiple images per page. Run asynchronous image detection and annotation for a list of images. Service that performs image detection and annotation for a batch of files.Apr 17, 2024 · The Video Intelligence API allows developers to use Google video analysis technology as part of their applications. The REST API enables users to annotate videos stored locally or in Cloud Storage, or live-streamed, with contextual information at the level of the entire video, per segment, per shot, and per frame. Learn more. .