Dataset Versions

v1

2022-10-06 5:57pm

Generated on Oct 6, 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 97%
951Images
Valid Set 1%
14Images
Test Set 1%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between 0% and +12%
Blur: Up to 0.25px
Cutout: 7 boxes with 5% size each
Mosaic: Applied

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