Dataset Versions

v1

2023-06-13 2:29am

Generated on Jun 12, 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 87%
1260Images
Valid Set 8%
120Images
Test Set 4%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -21° and +21°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -58% and +58%
Brightness: Between -31% and +31%
Blur: Up to 1.75px
Noise: Up to 5% of pixels

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