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Accurate Data Labelling for Sports Tech Modules

Computer Vision models have also found applications in sports and games. We analyze images and videos of games to process quality training data for these models by labelling players, objects, and player poses using various annotation techniques

Accurate Data Labelling for Sports Tech Modules

Computer Vision models have also found applications in sports and games. We analyze images and videos of games to process quality training data for these models by labelling players, objects, and player poses using various annotation techniques

Player Tracking

We label players from game footages using bounding boxes to process quality training data used for training real-time tracking modules on fields. Our area of expertise includes:

  • Baseball player tracking
  • Football player tracking
  • Volleyball player tracking

Action Identification

Using key points and bounding boxes, we label various poses of players used for action identification. Our expertise in the use case consists labelling of:

  • Golf player
  • Football player
  • Tennis player

Player segmentation

With our segmentation services, we help you segment, players from game footage and drive meaningful insights for your model from it. Our use case expertise is:

  • Basketball player segmentation

Player position tracking

We annotate player position from image/video footage using bounding boxes to generate training data for position tracking modules. Our recent project in the use case is:

  • Football player position tracking.

Annotation Validation

With our services, you can validate the model generated annotations. We validate your data and correct anomalies arising in it accordingly

  • Football player swapping correction Validate the jersey number of players whenever they swap their positions