Dataset Versions

v3

2023-11-28 11:28am

Generated on Nov 28, 2023

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.
Other Formats
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Dataset Split

Train Set 87%
19518Images
Valid Set 8%
1792Images
Test Set 5%
1009Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 46% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±0° Horizontal, ±40° Vertical
Grayscale: Apply to 25% of images
Hue: Between -63° and +63°
Saturation: Between -68% and +68%
Brightness: Between -49% and +49%
Exposure: Between -22% and +22%
Blur: Up to 4.75px
Noise: Up to 3% of pixels
Mosaic: Applied