Dataset Versions

v4

2023-09-18 5:10pm

Generated on Sep 18, 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 87%
18834Images
Valid Set 8%
1816Images
Test Set 5%
1035Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 19-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -16° and +16°
Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°

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