Dataset Versions

v3

nutSetV3-224-224-EfficientDet-Lite0

Generated on Apr 28, 2022

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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 86%
483Images
Valid Set 10%
54Images
Test Set 4%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Modify Classes: 6 remapped, 6 dropped
Filter Null: Require at least 84% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Noise: Up to 3% of pixels

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