Dataset Versions

v2

2024-04-18 11-08pm

Generated on Apr 18, 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 81%
186Images
Valid Set 17%
40Images
Test Set 1%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±12° Vertical
Hue: Between -15° and +15°
Brightness: Between -25% and +25%
Exposure: Between -13% and +13%
Blur: Up to 2.1px
Noise: Up to 1.68% of pixels

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