Dataset Versions

v2

600x900

Generated on Jun 2, 2022

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 100%
378Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 600x800

Augmentations

Outputs per training example: 3
Grayscale: Apply to 30% of images
Hue: Between -100° and +100°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Blur: Up to 0.75px

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