Dataset Versions

v8

2022-12-16 2:35pm

Generated on Dec 16, 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%
1209Images
Valid Set 7%
96Images
Test Set 6%
85Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Grayscale: Apply to 10% of images
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 5% of pixels

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