Dataset Versions

v4

2023-12-16 5:02pm

Generated on Dec 16, 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%
14644Images
Valid Set 9%
1441Images
Test Set 5%
769Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 72 remapped, 50 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -25° and +25°
Grayscale: Apply to 20% of images
Hue: Between -30° and +30°
Brightness: Between -25% and +25%
Exposure: Between -24% and +24%
Cutout: 3 boxes with 6% size each
Bounding Box: Exposure: Between -17% and +17%

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