Dataset Versions

v2

2024-02-28 3:02pm

Generated on Feb 28, 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 97%
14694Images
Valid Set 3%
522Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 6
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Grayscale: Apply to 18% of images
Hue: Between -25° and +25°
Saturation: Between -32% and +32%
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 2px