Dataset Versions

v1

2022-02-13 5:13pm

Generated on Feb 13, 2022

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 92%
1392Images
Valid Set 4%
64Images
Test Set 4%
64Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px