Dataset Versions

v8

2024-06-26 8:43pm

Generated on Jun 26, 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 88%
1257Images
Valid Set 8%
120Images
Test Set 4%
58Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -180° and +180°
Saturation: Between -35% and +35%
Blur: Up to 1px
Noise: Up to 10% of pixels
Bounding Box: Rotation: Between -5° and +5°

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