Dataset Versions

v8

2023-09-28 1:54pm

Generated on Sep 28, 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 88%
357Images
Valid Set 9%
35Images
Test Set 4%
16Images

Preprocessing

Resize: Stretch to 640x1422

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 50% of images
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels

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