Dataset Versions

v16

2023-03-09 2:16pm

Generated on Mar 9, 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%
2100Images
Valid Set 4%
103Images
Test Set 8%
200Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 0 remapped, 11 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 95% of images
Hue: Between -100° and +100°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -25% and +25%