Dataset Versions

v5

2022-05-06 5:34pm

Generated on May 6, 2022

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 86%
4584Images
Valid Set 8%
448Images
Test Set 6%
324Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Exposure: Between -25% and +25%
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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