Dataset Versions

v1

2022-06-14 1:42am

Generated on Jun 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 70%
7898Images
Valid Set 20%
2211Images
Test Set 10%
1105Images

Preprocessing

Isolate Objects: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 1
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels

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