Dataset Versions

v1

2024-07-11 12:18pm

Generated on Jul 11, 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 97%
5140Images
Valid Set 2%
116Images
Test Set 1%
52Images

Preprocessing

Auto-Orient: Applied
Static Crop: 30-75% Horizontal Region, 25-64% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°

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