BiRefNet_dynamic-ONNX-CUDA
onnx-community/BiRefNet_dynamic-ONNX-CUDA
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 0
- Total downloadsCumulative all-time download counter reported by the source platform.
- 0
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- 0
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #212 among tracked Image Segmentation models.
- #59,189
- 1137(down 1137 places)this week
- Parameters
- —
- Last source update
- Sep 1, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 4.4
- It moved from #208 to #212 among tracked Image Segmentation models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
BiRefNet_dynamic-ONNX-CUDA is a image segmentation model published by onnx-community. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it Sep 2, 2026.
- Published
- Sep 1, 2026
- Last updated
- Sep 1, 2026
- Library
- onnxruntime
- License
- mit
- Task
- Image Segmentation
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 0
onnxruntimeonnxbackground-removalmask-generationDichotomous Image SegmentationCamouflaged Object DetectionSalient Object Detectioncudatritonimage-segmentationbase_model:ZhengPeng7/BiRefNet_dynamicbase_model:quantized:ZhengPeng7/BiRefNet_dynamic
Publisher
onnx-communityView publisher statistics →Derived from ZhengPeng7/BiRefNet_dynamic (reported by the source; parent not yet tracked).
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