Dataset Versions

v2

2022-07-11 3-54pm

Generated on Jul 11, 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 87%
507Images
Valid Set 9%
51Images
Test Set 4%
26Images

Preprocessing

Isolate Objects: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 66% Maximum Zoom
Grayscale: Apply to 100% of images
Hue: Between -25° and +25°
Saturation: Between -68% and +68%
Brightness: Between -58% and +58%
Blur: Up to 3.25px
Noise: Up to 6% of pixels
Mosaic: Applied

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