Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
Deep Learning Server and CLI for Torch and TensorRT
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Advanced Normalization Tools (ANTs)
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
High-performance Vision library in Python. Scale your research, not boilerplate.
[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Cross-platform DICOM viewer for CT, MRI & PET/CT with MPR, 3D, fusion, editable segmentation and local AI auto-segmentation via TotalSegmentator.
ComfyUI nodes I made for my own workflows: click or type to mask a thing, crop, rotate and pad by dragging handles, inpaint and outpaint that keep your original pixels, tiled upscale, a video trim timeline, folder batches, layout boxes and a LoRA stack. I keep adding more.
Agent skills for Ultralytics YOLO, covering models, datasets, training, tuning, inference, tracking, and export.
π A curated showcase and architecture overview of AI-powered computer vision tools for instant food recognition, calorie estimation, and macro analysis from photos.
LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder