Dataset Versions

v16

2021-09-02 3:05pm

Generated on Sep 2, 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 86%
576Images
Valid Set 9%
61Images
Test Set 5%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 128x128

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -20° and +20°
Blur: Up to 10px
Cutout: 3 boxes with 10% size each
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%

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