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README.md
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---
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license: mit
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tags:
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-
-
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-
-
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- image-segmentation
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- deep-learning
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datasets:
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- custom
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-
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-
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model-index:
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- name: rayh/astro-seg
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results:
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- task:
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type: image-segmentation
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dataset:
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name: Custom Dataset
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type:
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metrics:
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- name: Mean Average Precision (mAP@50)
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type: mean_average_precision
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type: mean_average_precision
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value: 0.2497
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fine-tuned-from: Ultralytics/YOLO11
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inference:
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library: transformers
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parameters:
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threshold: 0.5
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iou_threshold: 0.5
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format: pytorch
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labels:
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- normal
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- glint
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---
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license: mit
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tags:
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- yolo11
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- ultralytics
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- image-segmentation
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- deep-learning
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datasets:
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- custom
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library_name: ultralytics
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base_model: yolo11
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inference:
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library: ultralytics
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parameters:
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threshold: 0.5
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iou_threshold: 0.5
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format: pytorch
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model-index:
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- name: rayh/astro-seg
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results:
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- task:
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type: image-segmentation
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name: Instance Segmentation
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dataset:
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name: Custom Dataset
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type: custom
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metrics:
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- name: Mean Average Precision (mAP@50)
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type: mean_average_precision
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type: mean_average_precision
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value: 0.2497
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fine-tuned-from: Ultralytics/YOLO11
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labels:
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- normal
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- glint
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