Dataset Versions

v4

2024-04-05 5:55pm

Generated on Apr 5, 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 87%
267Images
Valid Set 13%
40Images
Test Set %
0Images

Preprocessing

Resize: Fit (black edges) in 340x340

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -58% and +58%
Blur: Up to 1px
Noise: Up to 1.09% of pixels

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