Dataset Versions

v2

2022-12-13 3:14pm

Generated on Dec 13, 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%
477Images
Valid Set 5%
25Images
Test Set 2%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Modify Classes: 19 remapped, 1 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -15% and +15%
Blur: Up to 0.25px
Cutout: 8 boxes with 6% size each
Mosaic: Applied

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