Dataset Versions

Versions
2022-10-04 4:38pm
v20
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2 years ago
2022-10-04 4:38pm
v19
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2 years ago
2022-10-04 4:37pm
v18
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2 years ago
2022-10-04 4:36pm
v17
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2 years ago
2022-10-04 4:34pm
v16
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2 years ago
2022-10-04 4:33pm
v15
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2 years ago
2022-10-04 4:32pm
v14
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2 years ago
2022-10-04 4:30pm
v13
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2 years ago
2022-10-04 4:29pm
v12
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2 years ago
2022-10-04 4:27pm
v11
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2 years ago
2022-10-04 4:27pm
v10
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2 years ago
2022-10-04 4:25pm
v9
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2 years ago
2022-10-04 4:25pm
v8
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2 years ago
2022-10-04 4:24pm
v7
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2 years ago
2022-10-04 4:23pm
v6
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2 years ago
2022-10-04 4:23pm
v5
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2 years ago
2022-10-04 4:22pm
v4
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2 years ago
2022-10-04 4:21pm
v3
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2 years ago
2022-10-04 4:21pm
v2
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2 years ago
2022-10-04 3:44pm
v1
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2 years ago
v15

2022-10-04 4:33pm

Generated on Oct 4, 2022
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
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60 Total Images

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Dataset Split

Train Set 100%
60Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 4% of pixels

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