# WXinlong/SOLO

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

Repository: https://github.com/WXinlong/SOLO
Canonical: https://ross.abutalabs.com/products/solo
Language: Python
License: NOASSERTION
License Family: other
Topics: solo, instance-segmentation, object-detection, pytorch, solov2
Last push: 2023-12-26T14:52:42+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2354, "days_push": 981, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1758, forks 306 (observed 2026-08-28T04:05:32.383316+00:00)

## What it is
Official PyTorch implementation of SOLO and SOLOv2, box-free fully convolutional methods for instance segmentation published at ECCV 2020 and NeurIPS 2020. Built on mmdetection and includes pretrained COCO models.

## Use cases
- segment individual object instances in images
- run box-free instance segmentation with pretrained COCO models
- reproduce SOLO/SOLOv2 research results
- fine-tune an instance segmentation model on custom data
- compare instance segmentation model performance on COCO

## When to choose
- you need direct, box-free instance mask prediction
- you want high-quality object boundary masks
- you are building on mmdetection and want a state-of-the-art segmentation model
- you need a fast lightweight segmentation model (SOLOv2 at ~31 FPS on V100)

## When to avoid
- you need panoptic or semantic segmentation instead of instance segmentation
- you want a production-maintained framework rather than research code
- you need a license permitting commercial use (license is non-standard)
- you prefer a non-PyTorch stack without mmdetection dependencies

## Facets
- artifact type: library
- maturity: maintenance
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: computer-vision, image-processing, machine-learning, deep-learning
- platform: python
- tags: instance-segmentation, object-detection, pytorch, mmdetection, coco, research-code, solo, solov2, box-free, fcn, gpu, linux

## Member repositories
- WXinlong/SOLO (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:32.383316+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:27:33.419166+00:00, confidence not recorded.
  - readme: https://github.com/WXinlong/SOLO (fetched 2026-08-28T04:05:32.383316+00:00, sha 5d6ed4e7b888)
- Data as of 2026-08-30T08:39:29.467469+00:00.