Dataset Versions

v3

2023-05-13 6:23pm

Generated on May 13, 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 88%
17763Images
Valid Set 8%
1614Images
Test Set 4%
799Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -35% and +35%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Noise: Up to 5% of pixels

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