Dataset Versions

v17

2023-12-22 9:44am

Generated on Dec 22, 2023

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 88%
972Images
Valid Set 8%
92Images
Test Set 4%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Rotation: Between -8° and +8°
Saturation: Between -37% and +37%
Brightness: Between -62% and +0%
Exposure: Between -8% and +8%
Bounding Box: 90° Rotate: Upside Down

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