Dataset Versions

v2

2023-11-23 5:44pm

Generated on Nov 23, 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%
102Images
Valid Set 8%
9Images
Test Set 4%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -42° and +42°
Saturation: Between -70% and +70%
Brightness: Between -41% and +41%
Noise: Up to 3% of pixels
Cutout: 21 boxes with 4% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal

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