RMBG-1.4
briaai/RMBG-1.4
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 432.9K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 17.2M
- 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.
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- LikesCommunity likes reported by the source platform.
- 2,015
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #4 among tracked Image Segmentation models.
- #918
- 503(down 503 places)this week
- Parameters
- 44.1M
- Last source update
- Jul 6, 2025
- It moved from #3 to #4 among tracked Image Segmentation models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot 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
RMBG-1.4 is a image segmentation model published by briaai. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 3h ago.
- Published
- Dec 12, 2023
- Last updated
- Jul 6, 2025
- Library
- transformers
- License
- other
- Task
- Image Segmentation
- Parameters
- 44,075,590
- Spaces
- 100
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchonnxsafetensorsSegformerForSemanticSegmentationimage-segmentationremove backgroundbackgroundbackground-removalPytorchvisionlegal liability
Publisher
briaaiView publisher statistics →Similar models
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