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.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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."
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.
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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
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
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.
A simple, fully convolutional model for real-time instance segmentation.