Dataset Versions

v1

2023-05-17 3:24pm

Generated on May 17, 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 87%
16188Images
Valid Set 13%
2313Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -35° and +35°
Saturation: Between -41% and +41%
Brightness: Between -39% and +39%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 2% of pixels

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