Dataset Versions

v1

2024-03-22 7:12pm

Generated on Mar 22, 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 89%
12642Images
Valid Set 8%
1073Images
Test Set 3%
497Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -21° and +21°
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 2.48% of pixels