Model development: Researching, training, and fine-tuning deep learning models for object detection (players, sports equipment), tracking, and action recognition using frameworks like PyTorch or TensorFlow.
Video analytics: Working on algorithms for automated event detection (e.g., goals, boundaries, wickets) to facilitate auto-highlight generation.
OCR & data extraction: Implementing Optical Character Recognition (OCR) to read scoreboards and game clocks from video feeds.
Optimization: Optimizing computer vision pipelines for real-time performance on cloud and edge devices.
Data management: Assisting in collecting, cleaning, and annotating sports datasets to improve model accuracy.
Collaboration: Working closely with the backend and product teams to integrate CV models into the SportVot Cloud Studio and OTT platforms.

About Company: SportVot is an Indian sports platform where you can watch the local match live streams, highlights, and emerging athletes of India. This is made possible with SportVot's unique media technology to make local sports streaming more easy, cheap, and accessible to the sports ecosystem, called the SportVot Broadcasting Suite. This technology enables these tournament organizers and clubs to make their tournaments fully digital, right from producing multilingual interactive streams, automated highlights, and scoring to fixture management, which in turn assists these unique sports talent, and even tournaments, to get more support and visibility in the country.

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Computer Vision Internship in Mumbai