Dataset Versions

v15

PDD_V15_EXPOSURE_25-06-2024

Generated on Jun 25, 2024

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%
3624Images
Valid Set 3%
131Images
Test Set 4%
149Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 256x256
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Exposure: Between -10% and +10%

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