PaddlePaddle/PaddleSeg
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. observed · 2026-08-28
Health v2 · maintenance only
52/100
- Activity 66
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2565
- days_rel: 666
- days_push: 209
- n_releases_24m: 1
Adoption not part of the score
9382 stars · 1711 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
PaddleSeg is an end-to-end image segmentation toolkit built on PaddlePaddle, offering a model zoo with dozens of pre-trained models for semantic, panoptic, interactive, and 3D segmentation as well as image matting. It supports the full workflow from model design and training to performance optimization and deployment.
Use cases
- segment images with deep learning
- train a semantic segmentation model
- remove image backgrounds with matting
- detect road lanes for autonomous driving
- segment medical images like organs or tumors
- run real-time human or portrait segmentation
- fine-tune a pre-trained segmentation model on my own dataset
When to choose
- you need pre-trained segmentation models out of the box
- you want an end-to-end pipeline from training to deployment
- you work with PaddlePaddle or need industrial-grade segmentation tasks like matting or lane detection
When to avoid
- your stack is PyTorch- or TensorFlow-based and you need ecosystem interoperability
- you need general image classification or object detection rather than segmentation
- you want a lightweight inference-only tool without training infrastructure
Facets
library · maturity active
image-processing computer-vision machine-learning deep-learning computer-vision image-processing machine-learning autonomous-vehicles healthcare python cross-platform semantic-segmentation image-segmentation panoptic-segmentation image-matting interactive-segmentation medical-image-segmentation lane-detection pretrained-models paddlepaddle gpu
7 sources
- readme: https://github.com/PaddlePaddle/PaddleSeg · fetched 2026-08-28 · c4df2451170a
- homepage: https://arxiv.org/abs/2101.06175 · fetched 2026-08-29 · d06da36755fb
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- registry_pypi: https://pypi.org/pypi/paddleseg/json · fetched 2026-08-29 · 47c8ea5fed53
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| PaddlePaddle/PaddleSeg | main | 52 |
For agents
markdown · JSON · MCP: product_card(name="PaddlePaddle/PaddleSeg")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem