2022/02/28 Dataset

v1

ourself1

Generated on Mar 2, 2022

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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 90%
2573Images
Valid Set 6%
162Images
Test Set 4%
118Images

Preprocessing

Resize: Stretch to 416x416
Filter Null: Require at least 40% of images to contain annotations.

Augmentations

Outputs per training example: 3
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 3% of pixels

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