Semantic Segmentation PyTorch
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Overview
HEALTH SCORE
Critical*
Partial score (2/3 categories)
14out of 65
Development cadence is the primary crisis signal. Maintainer coverage shows little to offset it. Every health signal is at or near zero. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Critical*(14/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
No PRs or issues were opened in the review window, so response time could not be measured.
Bus factor
No data available. Repository has not been indexed for bus factor.
Organization Diversity
Contributors span 7 organizations.
Project Achievements
Leaderboards
About
A PyTorch implementation of semantic segmentation models and training framework for computer vision tasks, providing tools and code for pixel-wise scene understanding and object segmentation in images
First commit
Software value
$126K
Tags
ade20k
pytorch
scene-recognition
semantic-segmentation
License(s)
BSD-3-Clause
Data sources
Git
GitHub