Dataset Versions

v5

2024-08-10 5:20pm

Generated on Aug 10, 2024

Popular Download Formats

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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 84%
390Images
Valid Set 9%
43Images
Test Set 6%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 23% of images
Hue: Between -10° and +10°
Saturation: Between -29% and +29%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.41% of pixels

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