Dataset Versions

v15

RAMI_Object_Detection_V3

Generated on Sep 28, 2021

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 92%
23334Images
Valid Set 7%
1728Images
Test Set 1%
208Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -20° and +20°
Saturation: Between -50% and +50%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1.75px

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