Topics / #image-segmentation

Image-segmentation projects on GitHub

Splitting images into regions or object masks in computer vision.

As of October 17, 2026, the most-starred Image-segmentation projects on GitHub are DeepLearning-500-questions (57.7K stars), segment-anything (55K stars) and detectron2 (34.9K stars). GitHub.Locker tracks 19 Image-segmentation repositories with 318K stars combined. The fastest-growing on October 16 was VisionHOPE, with +111 stars in a day.

19Projects

318KStars in total

+169Stars in a day

Browse in the catalog →github.com/topics/image-segmentation ↗

Hot right now

Most stars gained in a day · Oct 16

+111

VisionHOPE

PSRben/VisionHOPE · ★ 1.2K

VisionHOPE is the official PyTorch implementation of a visual backbone built on self-referential nested learning (SRNL), supporting ImageNet-1K classification, COCO detection/instance segmentation, and ADE20K semantic segmentation.

+15

see-through

shitagaki-lab/see-through · ★ 4.7K

It is the open-source code for a SIGGRAPH 2026 paper: a framework that turns a single static anime illustration into a manipulatable 2.5D model by decomposing it into fully inpainted, semantically distinct layers with inferred drawing order.

+12

segment-anything

facebookresearch/segment-anything · ★ 55K

This is Meta AI's Segment Anything Model (SAM), a foundation model that produces object masks for images from prompts like points or boxes, or automatically generates masks for every object in an image.

+11

X-AnyLabeling

CVHub520/X-AnyLabeling · ★ 10.7K

A free cross-platform desktop app for AI-assisted annotation of text, image, video, and multimodal data — manual labeling tools plus built-in deep learning models that pre-label or batch-annotate, with multi-format export.

The all-time top

19 projects · by stars

#1 · scutan90/DeepLearning-500-questions
DeepLearning-500-questions
It is a Chinese-language Q&A style reference covering probability, linear algebra, machine learning, deep learning, and computer vision, organized as answers to 500+ commonly asked questions across 18 chapters and over 500,000 characters. It is also sold in print as 'Deep Learning 500 Questions — AI Engineer Interview Guide' (深度学习500问——AI工程师面试宝典).
57.7K
#2 · facebookresearch/segment-anything
segment-anything
This is Meta AI's Segment Anything Model (SAM), a foundation model that produces object masks for images from prompts like points or boxes, or automatically generates masks for every object in an image.
55K
#3 · facebookresearch/detectron2
detectron2
Detectron2 is Facebook AI Research's next-generation library for object detection, segmentation and other visual recognition tasks, with state-of-the-art algorithms.
34.9K

4
Mask_RCNN
25.6Kmatterport/Mask_RCNN · Python
An implementation of the Mask R-CNN model on Python 3, Keras and TensorFlow that generates bounding boxes and a segmentation mask for each object instance in an image, built on a Feature Pyramid Network and a ResNet101 backbone.
5
CVPR2026-Papers-with-Code
22.9Kamusi/CVPR2026-Papers-with-Code
A curated, continuously updated index of CVPR 2026 papers and their open-source code implementations, organized by computer vision topic (object detection, segmentation, 3D reconstruction, diffusion models, multimodal LLMs, etc.).
6
Grounded-Segment-Anything
17.8KIDEA-Research/Grounded-Segment-Anything · Jupyter Notebook
Grounded SAM, a research demo project that combines Grounding DINO with Segment Anything to detect and segment any object in an image from a plain text prompt, extended with Stable Diffusion, RAM, Whisper and more.
7
albumentations
15.3Kalbumentations-team/albumentations · Python
Albumentations is a fast, flexible Python library for image augmentation used in training computer vision models, offering a huge set of pixel-level and spatial-level transforms for images, masks, bounding boxes, keypoints, and even 3D volumes.
8
ar-cutpaste
14.6Kcyrildiagne/ar-cutpaste · TypeScript
AR Cut & Paste is a research prototype that lets you point your phone's camera at a real-world object, cut it out using AR and machine learning, and paste it directly into Photoshop as a new layer.
9
CVPR2024-Paper-Code-Interpretation
12.5Kextreme-assistant/CVPR2024-Paper-Code-Interpretation
A curated archive of CVPR conference papers, code links, Chinese-language write-ups, and livestream talk collections spanning CVPR2017 through CVPR2024, compiled by the Extreme Mart (极市) team.
10
segmentation_models.pytorch
11.8Kqubvel-org/segmentation_models.pytorch · Python
A Python library for building image semantic segmentation models in PyTorch, with over 500 pretrained convolutional and transformer-based backbones.
11
Pytorch-UNet
11.7Kmilesial/Pytorch-UNet · Python
A PyTorch implementation of the U-Net convolutional network for semantic segmentation, customized for Kaggle's Carvana Image Masking Challenge on high-definition images.
12
awesome-semantic-segmentation
10.8Kmrgloom/awesome-semantic-segmentation
A curated list of resources for semantic segmentation: network architectures, papers, code implementations, datasets, benchmarks, annotation tools, and losses used in the field.
13
X-AnyLabeling
10.7KCVHub520/X-AnyLabeling · Python
A free cross-platform desktop app for AI-assisted annotation of text, image, video, and multimodal data — manual labeling tools plus built-in deep learning models that pre-label or batch-annotate, with multi-format export.
14
techniques
10.3Ksatellite-image-deep-learning/techniques
A curated list of techniques for deep learning with satellite and aerial imagery, covering architectures, models and algorithms for tasks like classification, segmentation and object detection.
15
see-through
4.7Kshitagaki-lab/see-through · Python
It is the open-source code for a SIGGRAPH 2026 paper: a framework that turns a single static anime illustration into a manipulatable 2.5D model by decomposing it into fully inpainted, semantically distinct layers with inferred drawing order.
16
VisionHOPE
1.2KPSRben/VisionHOPE · Python
VisionHOPE is the official PyTorch implementation of a visual backbone built on self-referential nested learning (SRNL), supporting ImageNet-1K classification, COCO detection/instance segmentation, and ADE20K semantic segmentation.
17
nnUNet_att_position_correction
354qpuchen/nnUNet_att_position_correction · Python
This is the official PyTorch code for the MICCAI 2023 STS Challenge (3D tooth segmentation from CBCT scans) by team sdkxd, which extends nn-UNet with axial attention and a positional correction module to clean up abnormal segmentation points.
18
vlo
247PxTicks/vlo · TypeScript
Vlo is a free, open-source, local video editor with built-in AI features like automatic rotoscoping, audio stem separation, and beat detection, plus a live bridge to ComfyUI for running any generative AI workflow directly on the timeline.
19
ParkerLabel
109Parker-Lyu/ParkerLabel · Python
ParkerLabel is a lightweight, AI-assisted interactive annotation tool for object detection and instance segmentation that uses MobileSAM to generate masks from click prompts.