Dataset Versions

v2

2021-11-18 3:58pm

Generated on Nov 18, 2021

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 88%
240Images
Valid Set 8%
22Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 460x460

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -6° and +6°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -12% and +12%
Exposure: Between -5% and +5%
Noise: Up to 1% of pixels

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