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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 labeling players, objects, and player poses using various annotation techniques
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:
Using key points and bounding boxes, we label various poses of players used for action identification. Our expertise in the use case consists labeling of:
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:
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:
With our services, you can validate the model generated annotations. We validate your data and correct anomalies arising in it accordingly
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