Dataset Versions

v3

2021-11-19 10:28am

Generated on Nov 19, 2021

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%
1149Images
Valid Set 8%
108Images
Test Set 4%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -80° and +80°
Saturation: Between -35% and +35%
Exposure: Between -26% and +26%
Noise: Up to 5% of pixels
Mosaic: Applied

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