Dataset Versions

v1

2022-12-03 11:15am

Generated on Dec 3, 2022

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 94%
171Images
Valid Set 4%
8Images
Test Set 2%
3Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 45% of images
Hue: Between -133° and +133°
Saturation: Between -92% and +92%
Brightness: Between -59% and +59%
Exposure: Between -42% and +42%
Noise: Up to 11% of pixels

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