Dataset Versions

v1

2023-12-05 6:45pm

Generated on Dec 5, 2023

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 82%
4016Images
Valid Set 12%
588Images
Test Set 6%
292Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Shear: ±45° Horizontal, ±45° Vertical
Exposure: Between -56% and +56%
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical
Bounding Box: Exposure: Between -34% and +34%
Bounding Box: Noise: Up to 8% of pixels

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