Dataset Versions

v12

2024-09-17 4:58pm

Generated on Sep 17, 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 88%
6918Images
Valid Set 8%
658Images
Test Set 4%
329Images

Preprocessing

Resize: Fit within 640x480
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 10% Minimum Zoom, 30% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -24° and +24°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 3.5px
Noise: Up to 1.96% of pixels

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