Dataset Versions

v1

2023-06-08 12:23pm

Generated on Jun 8, 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 75%
282Images
Valid Set 13%
47Images
Test Set 13%
47Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 21% of images
Hue: Between -25° and +25°
Blur: Up to 2.25px
Cutout: 1 boxes with 10% size each
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -25% and +25%