ultralytics/replicate

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

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

Ultralytics YOLO tutorials for Colab, Kaggle, and SageMaker covering training, inference, export, and vision tasks.

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

Get up and running with SAM1,2,3, EfficientSAM, YOLO-World, and other promptable vision models locally.

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.

Models and examples built with Burn

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