Dataset Versions

v19

2024-02-29 2:37pm

Generated on Feb 29, 2024

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 100%
195Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 2000x2000
Grayscale: Applied
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -4° and +4°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -21% and +21%
Exposure: Between -10% and +10%
Blur: Up to 0.2px
Noise: Up to 0.38% of pixels

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