Dataset Versions

v13

2021-11-27 3:12pm

Generated on Nov 27, 2021

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 91%
516Images
Valid Set 4%
24Images
Test Set 4%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 608x608
Tile: 2 rows x 2 columns
Modify Classes: 9 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -17% and +17%
Brightness: Between -20% and +20%
Exposure: Between -7% and +7%
Blur: Up to 1px
Noise: Up to 1% of pixels

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