Dataset Versions

v3

2024-06-11 4:35pm

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.
Other Formats
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Dataset Split

Train Set 94%
1557Images
Valid Set 4%
62Images
Test Set 2%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 220x220

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 2% Maximum Zoom
Hue: Between -15° and +15°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -2% and +2%
Blur: Up to 0.6px
Noise: Up to 0.5% of pixels

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