Dataset Versions

v3

2024-09-26 5:55pm

Generated on Sep 26, 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 82%
411Images
Valid Set 9%
45Images
Test Set 9%
46Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -46% and +46%
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 1.01% of pixels

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