Dataset Versions

v5

2023-06-09 5:29pm

Generated on Jun 9, 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 93%
3351Images
Valid Set 6%
225Images
Test Set 1%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 400x400
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 19 remapped, 24 dropped

Augmentations

Outputs per training example: 3
Hue: Between -32° and +32°
Brightness: Between -33% and +33%
Exposure: Between -37% and +37%
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels

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