upernet-swin-base
openmmlab/upernet-swin-base
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 3,452
- Total downloadsCumulative all-time download counter reported by the source platform.
- 81.8K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,352(increase)
- 1.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 2
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #95 among tracked Image Segmentation models.
- #14,277
- 314(down 314 places)this week
- Parameters
- 122M
- Last source update
- May 3, 2023
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 57.2
- upernet-swin-base gained 1,352 downloads during the last seven tracked days.
- It moved from #96 to #95 among tracked Image Segmentation models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
upernet-swin-base is a image segmentation model published by openmmlab. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 4, 2026.
- Published
- Jan 13, 2023
- Last updated
- May 3, 2023
- Library
- transformers
- License
- mit
- Task
- Image Segmentation
- Parameters
- 121,925,540
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 193
transformerspytorchsafetensorsupernetvisionimage-segmentationenarxiv:1807.10221arxiv:2103.14030license:mitendpoints_compatibleregion:us
Publisher
openmmlabView publisher statistics →Similar models
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