Toptal improves video analysis accuracy for AI-driven basketball coaching platform.
A new AI-driven basketball coaching platform needed more accurate computer vision models. Toptal developed custom models and datasets to improve player and court detection across multiple leagues.
Client
A US-based sports analytics platform powering AI-driven coaching insights and computer vision for basketball.
Industry
Consumer Products & ServicesDelivered Services
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Schedule a CallChallenge
Variations in court layouts across leagues made player location detection difficult, requiring extensive manual input and custom datasets to maintain accuracy.
Solution
League-specific Model Training
Toptal trained separate computer vision models for each basketball league’s unique court design, generating accurate interpretations of distinct layouts and game environments.
Custom Dataset Development
The team collected and labeled hundreds of basketball court images, creating specialized datasets to improve keypoint detection for court boundaries and player positioning.
Outcome
Scalable Computer Vision Framework
Toptal established a flexible, systematic framework adaptable to diverse basketball environments, enabling seamless enhancements as more data becomes available.
Higher Detection Accuracy
Toptal’s meticulous labeling of the basketball court images, custom models, and curated datasets significantly improved recognition of court features and in-game events.
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