Dataset Versions

v1

2023-10-28 1-08am

Generated on Oct 27, 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%
1836Images
Valid Set 8%
171Images
Test Set 4%
90Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -25° and +25°
Blur: Up to 2.5px
Cutout: 6 boxes with 21% size each
Bounding Box: Shear: ±13° Horizontal, ±13° Vertical

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