Dataset Versions

v3

2023-04-07 8:05pm

Generated on Apr 7, 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.
Other Formats
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Dataset Split

Train Set 88%
21000Images
Valid Set 8%
2000Images
Test Set 4%
1000Images

Preprocessing

Resize: Fill (with center crop) in 320x320
Modify Classes: 0 remapped, 4 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -40% and +40%
Brightness: Between -50% and +50%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Mosaic: Applied

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