Dataset Versions

v9

2023-11-20 7:46pm

Generated on Nov 20, 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 84%
597Images
Valid Set 10%
68Images
Test Set 6%
46Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Hue: Between -20° and +20°
Brightness: Between -25% and +25%
Blur: Up to 0.75px
Noise: Up to 3% of pixels
Mosaic: Applied

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