mask2former-swin-large-cityscapes-semantic
facebook/mask2former-swin-large-cityscapes-semantic
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 175.9K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 10.2M
- 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.
- —
- LikesCommunity likes reported by the source platform.
- 38
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #10 among tracked Image Segmentation models.
- #1,727
- –this week
- Parameters
- 216M
- Last source update
- Sep 7, 2023
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
mask2former-swin-large-cityscapes-semantic is a image segmentation model published by facebook. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 3h ago.
- Published
- Jan 5, 2023
- Last updated
- Sep 7, 2023
- Library
- transformers
- License
- other
- Task
- Image Segmentation
- Parameters
- 215,952,796
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchsafetensorsmask2formervisionimage-segmentationdataset:cocoarxiv:2112.01527arxiv:2107.06278license:otherendpoints_compatibleregion:us
Publisher
facebookView publisher statistics →Similar models
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