Dataset Versions

v8

2024-12-23 5:35am

Generated on Dec 23, 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 87%
5898Images
Valid Set 9%
593Images
Test Set 4%
259Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 1024x720

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 10% of images
Hue: Between -150° and +150°
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.85% of pixels