Dataset Versions

v1

2022-10-23 5:55pm

Generated on Oct 23, 2022

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 88%
553Images
Valid Set 9%
58Images
Test Set 3%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 300x400
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -50% and +50%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 0.25px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical

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