Dataset Versions

v3

2022-07-31 4:20pm

Generated on Jul 31, 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.
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Dataset Split

Train Set 93%
663Images
Valid Set 5%
37Images
Test Set 2%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 0 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Upside Down
Saturation: Between -33% and +33%
Brightness: Between -19% and +19%
Blur: Up to 0.75px
Noise: Up to 2% of pixels

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