Dataset Versions

v3

2024-01-09 5:34pm

Generated on Jan 9, 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%
291Images
Valid Set 8%
28Images
Test Set 4%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.3% of pixels