Dataset Versions

v1

2023-12-24 5:53am

Generated on Dec 24, 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 84%
2872Images
Valid Set 14%
464Images
Test Set 3%
92Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each
Mosaic: Applied

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