Dataset Versions

v3

2022-08-25 5:32pm

Generated on Aug 25, 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 84%
4212Images
Valid Set 14%
720Images
Test Set 2%
108Images

Preprocessing

Tile: 6 rows x 6 columns

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Grayscale: Apply to 33% of images
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 5% of pixels