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  - πŸ₯™ For naming models, spaces, datasets, and metrics, employ [kebab-case](https://en.wiktionary.org/wiki/kebab_case). Use lowercase letters, except for acronyms, which may be capitalized.
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  - πŸ”’ Please mind about making the models, spaces and datasets public or private. Metrics can (and have to) be public.
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- - 🀐 Do not expose passwords or tokens, use [secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - πŸ₯™ For naming models, spaces, datasets, and metrics, employ [kebab-case](https://en.wiktionary.org/wiki/kebab_case). Use lowercase letters, except for acronyms, which may be capitalized.
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  - πŸ”’ Please mind about making the models, spaces and datasets public or private. Metrics can (and have to) be public.
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+ - 🀐 Do not expose passwords or tokens, use [secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets).
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+ <div align="center">
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+ <h2> Looking for metrics? </h2>
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+ </div>
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+ - https://huggingface.co/spaces/SEA-AI/det-metrics
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+ - Object detection metrics based on [`pycocotools`](https://github.com/cocodataset/cocoapi) and [torchmetrics' Mean Avergae Precision](https://lightning.ai/docs/torchmetrics/stable/detection/mean_average_precision.html).
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+ - https://huggingface.co/spaces/SEA-AI/box-metrics
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+ - Bounding box statistics, including IOU, BEP (bottom edge proximity), and others.
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+ - https://huggingface.co/spaces/SEA-AI/horizon-metrics
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+ - Comparing horizons in an image w.r.t their midpoint and slope errors
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+ - https://huggingface.co/spaces/SEA-AI/mot-metrics
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+ - Multi-object-tracking metrics using [`py-motmetrics`](https://github.com/cheind/py-motmetrics)
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+ - https://huggingface.co/spaces/SEA-AI/panoptic-quality
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+ - Evaluating panoptic models