Dataset Versions

v2

2023-09-13 11:49am

Generated on Sep 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%
1593Images
Valid Set 8%
151Images
Test Set 4%
76Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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