MaryamBoneh/Vehicle-Detection

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

In this repo there are some tips and a template to train your YOLO model for any kind of computer vision application

Analyse · Learn · Ingest · Curate · Export — AI-powered YOLO dataset management toolkit

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

Shared Ultralytics logos, media, sample images, pretrained model weights, dataset artifacts, and release assets.

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking