Dataset Versions

v7

2024-06-11 11:46am

Generated on Jun 11, 2024

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 91%
444Images
Valid Set 9%
44Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1440x1440
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 12% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%