Dataset Versions

v1

2023-02-05 1:16pm

Generated on Feb 5, 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%
1038Images
Valid Set 8%
99Images
Test Set 4%
49Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±13° Horizontal, ±13° Vertical
Hue: Between -40° and +40°
Saturation: Between -31% and +31%
Brightness: Between -32% and +32%
Exposure: Between -15% and +15%
Blur: Up to 7.75px
Mosaic: Applied

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