Dataset Versions

v4

2024-11-24 10:50am

Generated on Nov 24, 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%
609Images
Valid Set 4%
24Images
Test Set 2%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Grayscale: Applied
Tile: 1 rows x 3 columns

Augmentations

Outputs per training example: 7
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px