Dataset Versions

v9

2024-12-24 11:33am

Generated on Dec 24, 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 97%
1443Images
Valid Set 3%
51Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.3% of pixels
Cutout: 5 boxes with 5% size each

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