Dataset Versions

v2

2023-08-09 8:46pm

Generated on Aug 10, 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.
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Dataset Split

Train Set 88%
2520Images
Valid Set 8%
240Images
Test Set 4%
120Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 64x64

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -39% and +39%
Brightness: Between -25% and +25%
Blur: Up to 1px

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