Dataset Versions

v7

2023-07-10 4:15pm

Generated on Jul 10, 2023

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 84%
1938Images
Valid Set 9%
208Images
Test Set 6%
148Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Shear: ±2° Horizontal, ±24° Vertical
Hue: Between -53° and +53°
Brightness: Between -39% and +39%
Blur: Up to 1.5px
Noise: Up to 6% of pixels

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