Dataset Versions

v5

320x320_cluj

Generated on Mar 23, 2023

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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%
879Images
Valid Set 8%
83Images
Test Set 4%
42Images

Preprocessing

Resize: Fit (white edges) in 320x240

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -37° and +37°
Exposure: Between -19% and +19%
Cutout: 1 boxes with 19% size each
Bounding Box: Noise: Up to 2% of pixels