Dataset Versions

v2

leaf_dataset2

Generated on Jan 6, 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
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Dataset Split

Train Set 88%
210Images
Valid Set 8%
20Images
Test Set 4%
10Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Shear: ±5° Horizontal, ±4° Vertical
Hue: Between -24° and +24°
Brightness: Between -27% and +27%
Noise: Up to 7% of pixels
Bounding Box: Noise: Up to 6% of pixels

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