Framework-agnostic vision toolkit for training and evaluation

YOLOv8 vs RT-DETR: PyTorch/ONNX/TensorRT benchmarks on RTX 5080

Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.

Enhancing Tiny Object Detection Using Guided Object Inference Slicing (GOIS): An Efficient Dynamic Adaptive Framework for Fine-Tuned and Non-Fine-Tuned Deep Learning Models

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

RT-DETR for pytorch

NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

This repository enables training Ultralytics object detection models with the anchor-free LADA assignment algorithm and DFL-based regression. Multi-model feature fusion, joint training, and hybrid inference are also supported.

Final Year Project repository, where we developed a robust detection and tracking system using LiDAR data to run on the Jetson Xavier.

Python library for YOLO small object detection and instance segmentation

YOLO SHOW - YOLOv11 / YOLOv10 / YOLOv9 / YOLOv8 / YOLOv7 / YOLOv5 / RTDETR / SAM / MobileSAM / FastSAM YOLO GUI based on Pyside6

A method to optimize the current SAR ship detection pipeline using the DEtection TRansformer (DETR) model.