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2024-03-06 3:08pm
v12
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10 months ago
2024-03-05 10:16pm
v11
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10 months ago
2024-03-05 10:06pm
v10
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2024-03-05 3:30am
v9
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2024-03-04 11:39pm
v8
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2024-02-29 4:36pm
v7
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2024-02-29 3:29pm
v6
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2024-02-29 3:18pm
v5
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2024-02-29 3:04pm
v4
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2024-02-29 2:33pm
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10 months ago
2024-02-27 7:17pm
v2
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10 months ago
v5

2024-02-29 3:18pm

Generated on Feb 29, 2024
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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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2832 Total Images

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Dataset Split

Train Set 92%
2619Images
Valid Set 5%
143Images
Test Set 2%
70Images

Preprocessing

Auto-Orient: Applied
Static Crop: 21-78% Horizontal Region, 26-82% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -32% and +32%
Brightness: Between -23% and +23%
Exposure: Between -11% and +11%
Blur: Up to 4.7px
Noise: Up to 1.8% of pixels
Cutout: 3 boxes with 7% size each

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