Dataset Versions

v15

2023-05-30 6:17pm

Generated on May 30, 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 55%
210Images
Valid Set 25%
95Images
Test Set 21%
80Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±32° Horizontal, ±34° Vertical
Brightness: Between -60% and +0%
Blur: Up to 2.5px
Bounding Box: Exposure: Between -55% and +55%
Bounding Box: Blur: Up to 5px