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  ---
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  license: mit
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  tags:
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- - yolo-segmentation
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- - onnx
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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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- - coco
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- library_name: transformers
 
 
 
 
 
 
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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: object-detection
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  metrics:
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  - name: Mean Average Precision (mAP@50)
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  type: mean_average_precision
@@ -25,12 +32,6 @@ model-index:
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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