Dataset Versions

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Versions
2023-05-25 10:27pm
v9
·
a year ago
2023-05-24 9:40pm
v8
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a year ago
2023-02-24 4:30am
v7
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2 years ago
2023-02-24 4:04am
v6
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2 years ago
2023-02-10 9:08pm
v5
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2 years ago
2023-02-10 8:28pm
v4
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2 years ago
2023-02-10 8:28pm
v3
·
2 years ago
2023-02-10 8:26pm
v2
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2 years ago
2023-02-06 11:40pm
v1
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2 years ago
v3

2023-02-10 8:28pm

Generated on Feb 10, 2023
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
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903 Total Images

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Dataset Split

Train Set 90%
810Images
Valid Set 7%
63Images
Test Set 3%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels

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