Video annotation
Collect, classify, or annotate video data on our industry-leading data labeling platform.
Use cases
Computer vision
- Face recognition
- Surveillance
- Detecting objects, actions, and emotions
E-commerce
- Evaluating video reviews
- Virtual fitting rooms
- Search and ad relevance
Online content
- Comparing videos for user preferences
- Moderating video ads
- Moderating user-generated videos
Flexible video annotation tools
Use our data labeling tools and templates to create high quality training data for computer vision models and more. Generate or annotate video footage for any type of project.
How video annotation works in Toloka
Hand your data labeling tasks over to our global crowd and get scalable human
insights for your video data in over 40 languages.
- Video labeling
- 1
Pick a project preset for video data that matches your use case. Or start from scratch and design your own template.
- 1
Choose the audience, quality control methods, and other options.
- 1
Upload the first batch of raw data for labeling. Launch your pool of tasks and monitor progress as tasks are completed.
- 1
Download the video files with labels and get ground truth data.
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Tweak settings to improve results for the next batch of video data.
Why choose Toloka for video labeling
Our platform is purpose-built to meet the most challenging data labeling demands.
- Fast scalability
- Short turnaround time
- Wide range of quality
control tools - Real-time data labeling
- API and Python SDK
for easy integrations - Clear pricing
Find out more
State-of-the-art technologies
Our technologies have grown out of scientific research and 10 years of practical experience to make optimal quality attainable in labeled data.
Learn moreThe largest global crowd coverage
Our diverse global crowd spans every time zone for non-stop labeling and instant scaling, with support for 40+ languages.
Learn moreRobust infrastructure
Fault-tolerant high-load system for rapid knowledge enrichment that prioritizes data security and privacy.
Learn moreFull API and Python SDK
ML teams can integrate an on-demand workforce directly into their processes to build scalable and fully automated data pipelines.
Learn more
Get data labeling
on your terms
- Choose from self-service and bespoke
options to meet your needs - Connect to our global crowd or your own in-house
workforce on the Toloka data labeling platform
FAQ
- Video annotation refers to the process of adding metadata to a video file, typically in the form of labels or descriptions. This metadata describes the content of the video, including the objects, people, and actions that are depicted in the footage.There are several different ways to annotate videos, depending on your goals and the resources available.
- Manual annotation. Human viewers watch the videos and add labels.
- Automated annotation. A computer algorithm labels objects and actions in the videos.
- Combination (human in the loop). An automated system generates labels and human viewers verify edge cases where the label confidence is low, or do spot checks.
- The biggest challenge in video annotation is the time and resources involved. Video annotation can be a time-consuming process due to the sheer volume of data. A fast and affordable way to overcome this challenge is to break the task down into bite-size pieces and distribute it to a large crowd of annotators. Toloka's global crowd is available 24/7 to handle data in over 40 languages.
- Yes. We protect the privacy and well-being of Tolokers. Please see the guidelines for tasks.
- The Toloka data labeling platform offers project presets for video classification and side-by-side comparison. You don't need to do any manual tagging or labeling. Upload video files and create a project with instructions for how you want our global crowd of Tolokers to label them. To explore other video annotation capabilities (bounding boxes, segmentation, object tracking, and more), please reach out to our team.
Ready to learn more?
to your business needs.