Dataset Versions

v1

2023-07-13 11:09pm

Generated on Jul 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 82%
729Images
Valid Set 9%
81Images
Test Set 9%
81Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Saturation: Between -49% and +49%
Noise: Up to 8% of pixels
Cutout: 6 boxes with 11% size each
Bounding Box: Shear: ±20° Horizontal, ±20° Vertical
Bounding Box: Brightness: Between -28% and +28%
Bounding Box: Exposure: Between -33% and +33%
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 7% of pixels

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