Dataset Versions

v4

2023-05-26 1:49am

Generated on May 25, 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 87%
2139Images
Valid Set 8%
204Images
Test Set 4%
102Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 36-68% Vertical Region
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -48% and +48%
Exposure: Between -42% and +42%
Blur: Up to 2.75px
Noise: Up to 6% of pixels