Dataset Versions

v4

2023-12-17 5:21am

Generated on Dec 17, 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%
7278Images
Valid Set 9%
775Images
Test Set 4%
354Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Noise: Up to 2% of pixels