Dataset Versions

v3

EmptyV3

Generated on Oct 1, 2021

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 82%
12436Images
Valid Set 12%
1776Images
Test Set 6%
888Images

Preprocessing

Resize: Fit within 640x426

Augmentations

Outputs per training example: 2
Cutout: 5 boxes with 15% size each
Bounding Box: Shear: ±20° Horizontal, ±20° Vertical
Bounding Box: Brightness: Between -30% and +0%
Bounding Box: Blur: Up to 5px

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