Dataset Versions

v1

2023-08-22 5:50pm

Generated on Aug 22, 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 88%
75Images
Valid Set 8%
7Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1600x900
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 8 boxes with 11% size each