Dataset Versions

v2

2023-10-03 7:04pm

Generated on Oct 4, 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 90%
8064Images
Valid Set 5%
471Images
Test Set 5%
468Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 224x224
Modify Classes: 24 remapped, 1 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%

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