Dataset Versions

v3

2023-06-27 12:18am

Generated on Jun 26, 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 93%
4158Images
Valid Set 4%
171Images
Test Set 3%
145Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Modify Classes: 10 remapped, 2 dropped

Augmentations

Outputs per training example: 2
Flip: Applied
Rotation: Between -45° and +45°
Shear: ±6° Horizontal, ±6° Vertical
Grayscale: Apply to 45% of images
Noise: Up to 8% of pixels
Cutout: 1 boxes with 9% size each

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