Dataset Versions

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Versions
2023-09-05 6:18pm
v21
·
a year ago
2023-09-05 6:14pm
v20
·
a year ago
2023-08-31 12:33am
v18
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a year ago
2023-06-08 8:32pm
v12
·
a year ago
2023-06-08 2:14am
v11
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a year ago
2023-06-07 1:20am
v10
·
a year ago
2023-05-31 2:07am
v9
·
2 years ago
2023-05-30 10:36pm
v8
·
2 years ago
2023-05-30 2:32am
v7
·
2 years ago
2023-05-10 2:25am
v5
·
2 years ago
2023-04-03 4:18pm
v1
·
2 years ago
v5

2023-05-10 2:25am

Generated on May 9, 2023
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
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3872 Total Images

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Dataset Split

Train Set 87%
3381Images
Valid Set 8%
324Images
Test Set 4%
167Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Exposure: Between -20% and +20%
Bounding Box: Blur: Up to 1.75px
Bounding Box: Noise: Up to 4% of pixels

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