Dataset Versions

v2

2024-11-04 7:36am

Generated on Nov 4, 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.
Other Formats
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Dataset Split

Train Set 88%
369Images
Valid Set 8%
34Images
Test Set 4%
18Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±7° Vertical
Saturation: Between -31% and +31%
Brightness: Between -11% and +11%
Exposure: Between -11% and +11%
Blur: Up to 2.5px