Dataset Versions

v22

2024-09-08 12:39pm

Generated on Sep 8, 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 81%
176Images
Valid Set 10%
21Images
Test Set 10%
21Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 55% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±25° Horizontal, ±25° Vertical
Grayscale: Apply to 100% of images
Saturation: Between -96% and +96%