Dataset Versions

v1

2023-06-26 10:49pm

Generated on Jun 26, 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%
981Images
Valid Set 8%
93Images
Test Set 4%
48Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Shear: ±5° Horizontal, ±2° Vertical
Grayscale: Apply to 59% of images
Hue: Between -43° and +43°
Saturation: Between -89% and +89%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 2% of pixels

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