Dataset Versions

v4

2022-09-21 11:53am

Generated on Sep 21, 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 99%
438Images
Valid Set %
0Images
Test Set 1%
5Images

Preprocessing

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 20% of images
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -5% and +5%
Blur: Up to 0.75px
Noise: Up to 2% of pixels

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