zeinab beigi

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star recognization

Object Detection

star recognization Image Dataset

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Versions
2023-07-30 12:11pm
v24
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a year ago
2023-07-30 12:04pm
v23
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a year ago
2023-07-25 11:05am
v22
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a year ago
2023-07-25 11:01am
v21
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a year ago
2023-07-25 9:37am
v19
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a year ago
2023-07-11 11:42am
v15
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a year ago
2023-07-11 11:01am
v14
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a year ago
2023-07-09 9:24am
v13
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a year ago
2023-07-09 8:52am
v12
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a year ago
2023-07-09 7:52am
v11
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a year ago
2023-07-09 7:50am
v10
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a year ago
2023-07-08 11:53am
v9
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a year ago
2023-07-04 11:36am
v8
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a year ago
2023-07-02 8:00am
v7
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a year ago
2023-06-28 6:44am
v6
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a year ago
2023-06-24 8:00am
v5
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a year ago
2023-06-24 7:56am
v4
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a year ago
2023-03-07 3:53pm
v3
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a year ago
2023-03-06 1:37pm
v2
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a year ago
2023-02-21 2:37pm
v1
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a year ago
v24

2023-07-30 12:11pm

Generated on Jul 30, 2023
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
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550 Total Images

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Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 87%
480Images
Valid Set 8%
45Images
Test Set 5%
25Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±4° Horizontal, ±4° Vertical
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Blur: Up to 1px