Dataset Versions

v2

2023-09-25 7:13pm

Generated on Sep 25, 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.
Other Formats
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Dataset Split

Train Set 91%
528Images
Valid Set 5%
30Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -30% and +30%
Brightness: Between -21% and +21%
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Blur: Up to 2px

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