ultralytics/yoloe_data_engine

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

AI Auto Annotation & YOLO Training Pipeline, End-to-end object detection auto-labeling and YOLO training platform. VLM-powered annotation with NVIDIA LocateAnything-3B, manual refinement, one-click YOLO training, video keyframe extraction, and model validation. Supports image and video.

Local-first YOLO workbench for annotation, training, evaluation, and AI assistance.

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

Draw bounding boxes on raw images based on YOLO format annotation. Help to check the correctness of annotation and extract the images with wrong boxes.

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

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

Advanced local tool for intelligent preparation and selection with graphics for training datasets for Loras (Flux/Qwen/Z-image/SDXL/ etc...)

Refine high-quality datasets and visual AI models