Dataset Versions

v1

2024-09-10 10:59pm

Generated on Sep 10, 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 100%
267Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 4% Maximum Zoom
Rotation: Between -11° and +11°
Shear: ±4° Horizontal, ±3° Vertical
Grayscale: Apply to 7% of images
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 0.02% of pixels
Cutout: 1 boxes with 5% size each

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