Dataset Versions

v2

2024-02-28 1:45pm

Generated on Feb 28, 2024

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 88%
168Images
Valid Set 7%
14Images
Test Set 5%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -66° and +66°
Saturation: Between -72% and +72%
Brightness: Between -58% and +58%
Blur: Up to 2.25px
Noise: Up to 5% of pixels
Cutout: 13 boxes with 6% size each

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