Dataset Versions

v4

2023-05-31 4:47am

Generated on May 30, 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%
15168Images
Valid Set 9%
1560Images
Test Set 7%
1232Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 300x300
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -25° and +25°
Saturation: Between -50% and +50%
Cutout: 2 boxes with 24% size each

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