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.
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.
No commits in the last 6 months.
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.
Stars
8
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 14, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/dimiz51/DETR-Factory-PyTorch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
dddzg/up-detr
[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
hanouticelina/deformable-DETR
Implementation of the paper : Deformable DETR: Deformable Transformers for End-to-End Object...
xiuqhou/Relation-DETR
[ECCV2024 Oral] Official implementation of the paper "Relation DETR: Exploring Explicit Position...
akshitac8/OW-DETR
[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer
xiuqhou/Salience-DETR
[CVPR 2024] Official implementation of the paper "Salience DETR: Enhancing Detection Transformer...