Dataset Versions

v6

2023-02-02 10:44pm

Generated on Feb 3, 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 87%
366Images
Valid Set 8%
35Images
Test Set 5%
22Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Vertical
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 25% of images
Bounding Box: Rotation: Between -32° and +32°
Bounding Box: Blur: Up to 10px