Dataset Versions

v7

2024-03-27 7:54pm

Generated on Mar 27, 2024

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 91%
2277Images
Valid Set 4%
108Images
Test Set 4%
107Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 8% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.8% of pixels
Cutout: 3 boxes with 15% size each
Bounding Box: Exposure: Between -10% and +10%

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