Tags / Machine learning /
Image segmentation
A model or library that assigns image pixels to objects or classes.
Repositories
15
Net stars gained, last 7 days
+854
Top-level Tag
Net stars gained each day, last 90 days
Peak days
- 1
Sep 15, 2026 +207 net stars (median day +97)
- opencoredev/bg0+114 (55%)
Created on Sep 14, 2026
- ultralytics/ultralytics+43 (21%)
- facebookresearch/sam2+13 (6%)
- 2
Sep 16, 2026 +221 net stars (median day +97)
- opencoredev/bg0+90 (41%)
Created on Sep 14, 2026
- ultralytics/ultralytics+57 (26%)
- danielgatis/rembg+19 (9%)
- 3
Oct 23, 2026 +215 net stars (median day +97)
- Tencent/WeVisOne-VL+85 (40%)
Created on Oct 22, 2026
- ultralytics/ultralytics+35 (16%)
- lillyguisnet/sam3-segmentation+23 (11%)
Created on Oct 23, 2026
- 4
Nov 3, 2026 +235 net stars (median day +97)
- Tencent/WeVisOne-VL+157 (67%)
Created on Oct 22, 2026
- ultralytics/ultralytics+45 (19%)
Published v8.4.199, v8.4.200, and v8.4.201 on Nov 3, 2026
- danielgatis/rembg+20 (9%)
A peak day has at least 2 times the net stars of the median day of this chart, and at least 100 more. For each peak day, the list shows the repositories that gained the most net stars that day. It also shows their GitHub releases of that day or the day before (UTC), and their creation date when it was 14 days or less before. These events occur near the same day. They do not show why the stars came.
Largest
Most stars in total now.
description:
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
readme:
including object detection, image segmentation, and image classification
readme:
The **Segment Anything Model (SAM)** produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image.
readme:
provides state-of-the-art detection and segmentation algorithms.
readme:
The toolbox directly supports multiple detection tasks such as **object detection**, **instance segmentation**, **panoptic segmentation**, and **semi-supervised object detection**.
readme:
The model generates bounding boxes and segmentation masks for each instance of an object in the image.
readme:
Rembg has three ways to turn a mask into a cutout.
readme:
is a foundation model towards solving promptable visual segmentation in images and videos.
readme:
Grounded-SAM: Detect and Segment Everything with Text Prompt
readme:
For every single pixel, even the highly transparent ones like motion blur or out-of-focus edges, the model predicts the true, un-multiplied straight color of the foreground element, alongside a clean, linear alpha channel.
Newest Admissions
Entered the index by the rising rule, newest first.
readme:
Ask your coding agent (Claude Code, Codex, Cursor, Pi, OpenCode and about 75 others) to "outline every kernel", "cut out the dog" or "count the seeds"
readme:
BG0 is an open-source background remover that runs locally in the browser.
readme:
pixel-level** perception (referring segmentation and promptable alpha matting)
readme:
a promptable instance segmentation model built on feed-forward 4D visual geometry
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