siamese-dinov2-wall-hatching-matcher
GreenMap/siamese-dinov2-wall-hatching-matcher
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 6,684
- Total downloadsCumulative all-time download counter reported by the source platform.
- 10.7K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #115 among tracked Image Feature Extraction models.
- #8,356
- –this week
- Parameters
- —
- Last source update
- Aug 21, 2026
Downloads over time
Rolling recent-window downloads as reportedNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
siamese-dinov2-wall-hatching-matcher is a image feature extraction model published by GreenMap. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 8h ago.
- Published
- Jun 27, 2026
- Last updated
- Aug 21, 2026
- Library
- pytorch
- License
- apache-2.0
- Task
- Image Feature Extraction
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
pytorchtorchscriptdinov2siamese-networkcomputer-visionimage-similarityblueprintarchitecturehatch-patternimage-feature-extractionlicense:apache-2.0region:us
Publisher
GreenMapView publisher statistics →Similar models
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