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update README.md
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README.md
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@@ -34,13 +34,14 @@ This repository provides five pretrained variants — Nano, Small, Medium, Large
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The D-FINE family includes five model sizes trained on the [L&A Pucks Dataset](https://huggingface.co/datasets/Laudando-Associates-LLC/pucks), each offering a different balance between model size and detection accuracy.
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| Nano
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| Small
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| Medium
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| Large
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| Extra Large
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> mAP values are evaluated on the validation set of the L&A Pucks dataset.
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The D-FINE family includes five model sizes trained on the [L&A Pucks Dataset](https://huggingface.co/datasets/Laudando-Associates-LLC/pucks), each offering a different balance between model size and detection accuracy.
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| Variant | Parameters | mAP@[0.50:0.95] | Model Card |
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|:------------:|:----------:|:---------------:|:-----------:|
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| Nano | 3.76M | 0.825 | <a href="https://huggingface.co/Laudando-Associates-LLC/d-fine-nano"><img src="https://img.shields.io/badge/d--fine--nano-yellow?logo=huggingface&style=flat-square"></a> |
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| Small | 10.3M | 0.816 | <a href="https://huggingface.co/Laudando-Associates-LLC/d-fine-small"><img src="https://img.shields.io/badge/d--fine--small-yellow?logo=huggingface&style=flat-square"></a> |
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| Medium | 19.6M | 0.840 | <a href="https://huggingface.co/Laudando-Associates-LLC/d-fine-medium"><img src="https://img.shields.io/badge/d--fine--medium-yellow?logo=huggingface&style=flat-square"></a> |
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| Large | 31.2M | 0.828 | <a href="https://huggingface.co/Laudando-Associates-LLC/d-fine-large"><img src="https://img.shields.io/badge/d--fine--large-yellow?logo=huggingface&style=flat-square"></a> |
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| Extra Large | 62.7M | 0.803 | <a href="https://huggingface.co/Laudando-Associates-LLC/d-fine-xlarge"><img src="https://img.shields.io/badge/d--fine--xlarge-yellow?logo=huggingface&style=flat-square"></a> |
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> mAP values are evaluated on the validation set of the L&A Pucks dataset.
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