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Stevens Institute of Technology
- New York, NY
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We write your reusable computer vision tools. 💜
Datasets, Transforms and Models specific to Computer Vision
Geometric Computer Vision Library for Spatial AI
Refine high-quality datasets and visual AI models
Deep Learning toolkit for Computer Vision.
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.
Industry-strength Computer Vision workflows with Keras
A list of synthetic dataset and tools for computer vision
🏀 Visualization of NBA games from raw SportVU data logs
⚾🤖⚾ Automatic baseball pitching overlay in realtime
AI assistant that can query visual datasets, search the FiftyOne docs, and answer general computer vision questions
Visualization and analysis of NBA player tracking data
Some simple computer vision implementations using OpenCV
Labelling NBA action using deep learning 🏀
Machine learning and computer vision to detect and analyze basketball shots in real-time (2023)
🏀 Judging basketball shots and analyzing shooting pose with machine learning
AI Basketball Games Video Editor is a program to get basketball highlight video by PyTorch YOLOv4 object detection
Basketball coaches often sketch plays on a whiteboard to help players get the ball through the net. A new AI model predicts how opponents would respond to these tactics.
Basketball 🏀 action tracking and understanding using classical computer vision approaches and deep learning.
Python wrapper for the Sportradar APIs ⚽️🏈