dimiz51/DETR-Factory-PyTorch

This project is an implementation of the Detection Transformer (DETR) and the Conditional DETR variant of the model for state-of-the-art object detection. Using this project you can easily fine-tune and test both DETR variants on your own dataset following the included notebook guide.

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Experimental

This project helps computer vision practitioners train and evaluate state-of-the-art object detection models using image datasets. You input your labeled image data, and the project outputs a trained model capable of identifying and localizing objects within new images. It's designed for machine learning engineers or researchers working on visual recognition tasks.

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Use this if you need to build or refine a model that accurately detects and localizes specific objects within images using modern Transformer-based architectures.

Not ideal if you are looking for a pre-trained, off-the-shelf solution without any need for custom training or evaluation.

object-detection computer-vision image-analysis machine-learning-engineering model-training
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

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8

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1

Language

Python

License

Apache-2.0

Last pushed

Mar 14, 2025

Commits (30d)

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