MasterSkepticista/detr
JAX implementation of DETR
This project helps machine learning engineers and researchers quickly implement and train advanced object detection models. It takes image datasets, such as MS-COCO, and outputs a trained model capable of identifying and locating multiple objects within images. The primary users are those working on computer vision tasks who need state-of-the-art object detection capabilities.
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Use this if you are a machine learning practitioner looking to build and fine-tune an object detection system using the DETR architecture with JAX and Flax for high performance.
Not ideal if you are an end-user needing a pre-built application for object detection without diving into model training or if you prefer PyTorch over JAX.
Stars
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Language
Python
License
MIT
Category
Last pushed
Jul 06, 2025
Commits (30d)
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