Dataset Versions

v1

2023-02-26 1:40pm

Generated on Feb 26, 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.
Other Formats
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Dataset Split

Train Set 88%
105Images
Valid Set 8%
10Images
Test Set 4%
5Images

Preprocessing

Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 32% Maximum Zoom
Grayscale: Apply to 44% of images
Hue: Between -50° and +50°
Saturation: Between -38% and +38%
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%

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