Dataset Versions

v6

DA_FasterRCNN_NS

Generated on Mar 19, 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 94%
630Images
Valid Set 3%
23Images
Test Set 2%
15Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Grayscale: Apply to 50% of images
Hue: Between -60° and +60°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Blur: Up to 2.25px