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
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
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
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.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
Deep and Machine Learning for Microscopy
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images
#ZVQ - Zebrafish Vascular Quantification - https://doi.org/10.1242/dev.199720
Panoptic segmentation algorithms for 2D and 3D electron microscopy images