Dataset Versions

v5

2024-04-30 6:53pm

Generated on Apr 30, 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 86%
16008Images
Valid Set 10%
1848Images
Test Set 4%
824Images

Preprocessing

Static Crop: 20-80% Horizontal Region, 0-60% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Saturation: Between -20% and +20%
Exposure: Between -5% and +5%

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