Dataset Versions

v1

2022-09-23 12:45am

Generated on Sep 23, 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 93%
207Images
Valid Set 4%
9Images
Test Set 3%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 39 remapped, 4 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -12% and +12%
Exposure: Between -10% and +10%
Blur: Up to 0.25px
Mosaic: Applied

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