Dataset Versions

v3

2022-10-10 8:46pm

Generated on Oct 10, 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 87%
216Images
Valid Set 8%
20Images
Test Set 5%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Saturation: Between -57% and +57%
Exposure: Between -38% and +38%
Blur: Up to 2px
Noise: Up to 6% of pixels
Cutout: 1 boxes with 49% size each

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