Dataset Versions

v1

2022-07-08 2:14pm

Generated on Jul 8, 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 87%
1536Images
Valid Set 8%
148Images
Test Set 4%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Mosaic: Applied

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