Dataset Versions

v1

2021-09-06 1:10pm

Generated on Sep 6, 2021

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 87%
2253Images
Valid Set 8%
215Images
Test Set 4%
107Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -44% and +44%
Exposure: Between -26% and +26%
Blur: Up to 5.25px
Noise: Up to 5% of pixels
Mosaic: Applied

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