Dataset Versions

v1

2023-04-09 7:42pm

Generated on Apr 9, 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 88%
2520Images
Valid Set 8%
240Images
Test Set 4%
120Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -25° and +25°
Cutout: 10 boxes with 15% size each
Bounding Box: Rotation: Between -25° and +25°

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