Dataset Versions

v5

test4

Generated on Apr 7, 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 96%
9360Images
Valid Set 4%
352Images
Test Set 1%
58Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Exposure: Between -5% and +5%
Noise: Up to 2% of pixels

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