Dataset Versions

v1

2024-06-05 2:14pm

Generated on Jun 5, 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.
Other Formats
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Dataset Split

Train Set 92%
1107Images
Valid Set 8%
92Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 384x384

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±12° Horizontal, ±9° Vertical
Hue: Between -15° and +15°
Saturation: Between -26% and +26%
Brightness: Between -24% and +24%
Exposure: Between -13% and +13%
Blur: Up to 4px
Noise: Up to 1.88% of pixels

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