Dataset Versions

v4

2024-10-15 10:36am

Generated on Oct 15, 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 94%
393Images
Valid Set 5%
20Images
Test Set 1%
5Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -26° and +26°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -36° and +36°
Brightness: Between -41% and +41%
Blur: Up to 4px
Noise: Up to 1.8% of pixels
Cutout: 3 boxes with 14% size each