Dataset Versions

v1

2022-05-28 7:14pm

Generated on May 28, 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 92%
282Images
Valid Set 8%
24Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -16° and +16°
Shear: ±11° Horizontal, ±11° Vertical
Blur: Up to 4.25px
Noise: Up to 7% of pixels

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