Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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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.
OpenMMLab Detection Toolbox and Benchmark
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Rembg is a tool to remove images background
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.
Real-Time High-Resolution Background Matting
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
"Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026 Conference Paper)
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
High-resolution models for human tasks.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
unet for image segmentation