Dataset Versions

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Versions
2023-07-16 6:12pm
v11
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a year ago
2023-07-05 1:58am
v10
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a year ago
2023-06-30 1:36am
v9
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a year ago
2023-06-30 1:13am
v8
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a year ago
2023-06-29 6:44pm
v7
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a year ago
2023-06-29 12:55pm
v6
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a year ago
2023-06-29 12:49pm
v5
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a year ago
2023-06-29 12:16pm
v4
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a year ago
2023-06-29 10:56am
v3
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a year ago
2023-06-17 6:55pm
v1
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a year ago
v1

2023-06-17 6:55pm

Generated on Jun 17, 2023
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Pascal VOC XML
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PaliGemma
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248 Total Images

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Dataset Split

Train Set 87%
216Images
Valid Set 8%
20Images
Test Set 5%
12Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 50% of images
Hue: Between -36° and +36°
Saturation: Between -38% and +38%
Brightness: Between -24% and +24%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 10 boxes with 10% size each

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