Dataset Versions

v27

more more augs and more data 2023-06-15 12-51pm

Generated on Jun 15, 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 96%
19746Images
Valid Set 4%
745Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 320x320
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 3% of pixels
Cutout: 9 boxes with 10% size each

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