Dataset Versions

v2

2023-08-22 9:04am

Generated on Aug 22, 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 99%
1623Images
Valid Set %
0Images
Test Set 1%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 256x256

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -19° and +19°
Saturation: Between -32% and +32%
Brightness: Between -32% and +32%
Exposure: Between -13% and +13%
Blur: Up to 1.25px
Bounding Box: Blur: Up to 1.75px

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