Dataset Versions

v1

2023-07-26 11:38pm

Generated on Jul 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.
Other Formats
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Dataset Split

Train Set 90%
348Images
Valid Set 6%
23Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 300x300

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±11° Horizontal, ±15° Vertical
Grayscale: Apply to 56% of images
Hue: Between -108° and +108°
Saturation: Between -52% and +52%
Mosaic: Applied
Bounding Box: Shear: ±17° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -36% and +36%

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