The process of adding metadata, tags, or labels to various objects, actions, or events within a video is called video annotation. A human annotator can do this manually, but with AI, much of the process can be automated. AI algorithms use computer vision to examine and understand video content frame by frame, recognizing and classifying objects, actions, or events based on visual factors.
Let’s take a look at some of the best AI video annotation tools.
Keylabs is a platform that combines state-of-the-art, user-friendly, performance-oriented annotation tools with integrated machine learning and operations management capabilities. There are tools for AI-powered video annotation. You can create tags, provide descriptions, and identify key moments in your videos. Users can create, schedule, and manage tasks for each team her member and collaborate on projects.
Labelbox is a free AI video annotation tool. By automating the annotation process using deep learning models, you can reduce the time and effort required to annotate your videos. Give customers complete visibility and control over their data labeling operations by internal labeling teams and external labeling service providers through access to a full range of labeling, collaboration, and quality tools.
Dataloop is a complete AI video annotation tool that provides various annotation capabilities such as object detection, image segmentation, and text annotation. It offers features such as frame-by-frame navigation, live class switching, IDS & PARENTING. Teams working on large projects should take advantage of this application because it is easy to use and has real-time collaboration features.
SuperAnnotate claims to be the foundation of any data labeling workflow. Users can annotate any kind of data including images, videos, text, LiDAR, and audio with state-of-the-art annotation tools. It allows users to annotate, highlight and visualize videos. You can annotate movies from various sources such as Facebook, Vimeo, and YouTube.
Supervisory is an all-in-one video annotation solution. Unlike many other labeling tools, it allows users to process video clips without first cutting them into images. It utilizes both natural language processing and deep learning techniques. It includes a multitrack timeline, integrated object tracking, and segment tagging capabilities and works in your browser.
VGG Image Annotator (VIA)
VGG Image Annotator (VIA) is an easy and independent manual annotation tool for images, audio and video. The VIA program is a small standalone offline software package that runs in your web browser and requires no installation or setup. The app has a simple, intuitive and easy-to-use UI, making it suitable even for beginners.
VideoAnt is a web-based video annotation application for mobile and desktop platforms. VideoAnt allows users to annotate or comment on web-hosted videos. Provides a platform for secure sharing. User can export annotated documents in various formats to share with other team her members. Additionally, users can embed annotated videos anywhere HTML is allowed, including her personal girlfriend website and learning management systems.
Flixier is a free video annotation platform. This allows users to easily annotate videos from their browser. Flixier’s video annotation tools let you annotate your movies with pictures, text, motion titles, photos, shapes, and other elements. Compatible with all popular video file types such as mp4, avi, mkv.
Deepen AI’s video annotation tool is a great tool for annotating videos to create high-quality training data. Deepen AI supports many cases such as bounding boxes, polylines, semantic segmentation, scenario labeling, etc. We ensure the highest standards by ensuring the quality of the labeled data. Additionally, it provides a single platform for assigning and managing various team members.
Computer Vision Annotation Tool (CVAT)
CVAT is an open-source, web-based tool that annotates photos, videos, and other types of data for computer vision tasks such as object detection, image segmentation, and image classification. CVAT provides an easy-to-use interface for annotating photos and videos, allowing multiple users to collaborate on the same project at once. In addition, it provides powerful annotation tools that allow users to annotate objects of various shapes.
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Consultant Intern: Currently in my 3rd year of B.Tech at the Indian Institute of Technology (IIT), Goa. She is her ML enthusiast and has a keen interest in data science. She is a very good learner and seeks to familiarize herself with the latest developments in artificial intelligence.