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
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]
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
Real-Time High-Resolution Background Matting
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
Visual tracking library based on PyTorch.
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
Semantic Segmentation Architectures Implemented in PyTorch
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Corridor Key 2.0 for all your green and blue screen needs
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
StarDist - Object Detection with Star-convex Shapes
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Deep Learning Library for Single Cell Analysis
ilastik-shell, applets, and workflows to string them together.
Deep and Machine Learning for Microscopy
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning