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ziqi-jin/finetune-anything
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
860 63 +0/wk
GitHub
computer-vision deep-learning fine-tune segment-anything
Trend
0
Star & Fork Trend (37 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ziqi-jin/finetune-anything has +0 stars this period . 7-day velocity: -0.1%.
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| Metric | finetune-anything | AdaptSegNet | 3DMPPE_POSENET_RELEASE | swin-transformer-pytorch |
|---|---|---|---|---|
| Stars | 860 | 860 | 860 | 861 |
| Forks | 63 | 208 | 148 | 130 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | MIT | MIT |
Capability Radar vs AdaptSegNet
finetune-anything
AdaptSegNet
Maintenance Activity 0
Last code push 977 days ago.
Community Engagement 37
Fork-to-star ratio: 7.3%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.