Dataset Versions

v1

2022-12-03 10:15pm

Generated on Dec 3, 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 %
0Images
Valid Set %
0Images
Test Set 100%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 227x227
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -14° and +14°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Blur: Up to 0.75px
Noise: Up to 2% of pixels

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