Dataset Versions

v2

2024-09-21 12:25pm

Generated on Sep 21, 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 93%
7020Images
Valid Set 6%
450Images
Test Set 2%
117Images

Preprocessing

Resize: Stretch to 1280x1280
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%

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