500+ workout videos annotated, 1,000+ labels added at 97% accuracy
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The client needed detailed workout video annotations to improve the functionality and instructional quality of its mobile fitness application.
Our team annotated workout videos and labeled individual exercises with relevant tags, helping create clear and structured visual instructions that users could easily follow within the app.
The challenge
- Precise exercise labeling — each workout video required accurate annotations for individual exercises to make the instructional content clear and easy to follow.
- Clear workout instructions — labels needed to help users understand different exercises, techniques, and workout routines without ambiguity.
- Consistent annotation quality — the project required a high level of accuracy across hundreds of videos to maintain a reliable user experience throughout the application.
What we did
- 1 Reviewed workout videos — analyzed videos to identify individual exercises and the visual elements that required annotation.
- 2 Labeled individual exercises — added relevant and descriptive labels to clearly identify different exercises throughout the workout videos.
- 3 Applied annotations using the client-provided tool — used the specialized annotation tool provided by the client to create detailed and structured video annotations.
- 4 Maintained annotation accuracy — carefully annotated the videos to ensure consistent, high-quality data suitable for integration into the mobile application.
Results
- 500+ videos annotated — creating detailed instructional data across a broad range of workout routines.
- 1,000+ labels added — clearly identifying exercises and providing structured visual guidance within the videos.
- 97% accuracy rate achieved — maintaining a high level of precision across the annotated video dataset.
- Improved instructional content — delivering structured annotations that helped make workout routines clearer and easier for users to follow.
Our methodology
How we structure workout video annotation
Effective video annotation requires consistent exercise identification, clear labeling, and careful attention to annotation accuracy across the dataset.
Exercise identification
Videos are reviewed to identify individual exercises and determine the relevant elements requiring annotation.
Detailed video labeling
Each exercise is labeled with relevant and descriptive tags to create clear instructional information.
Client-specific annotation workflow
Annotations are completed using the specialized tool provided by the client and according to the project's requirements.
Accuracy-focused review
Completed annotations are carefully checked to maintain consistency and support the required level of data quality.
Delivery was always before the deadline with high quality and very few revisions needed. If some of the instructions weren’t clear, there were polite and thorough questions to make sure those high standards were maintained. Aside from delivering professionally, the team are a joy to work with!— Spokesperson, Software Company
