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.
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
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.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
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.
"Single-image Layer Decomposition for Anime Characters" (SIGGRAPH 2026 Conference Paper)
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
unet for image segmentation
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.
Segment Anything in Medical Images
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
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.
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Segment Anything for Microscopy