Dataset Versions

v1

2022-10-30 9:57pm

Generated on Oct 30, 2022

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 92%
11688Images
Valid Set 8%
969Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Brightness: Between -60% and +60%
Exposure: Between -40% and +40%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Noise: Up to 4% of pixels

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