Dataset Versions

v5

2024-07-18 1:47am

Generated on Jul 18, 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 85%
12231Images
Valid Set 10%
1422Images
Test Set 5%
666Images

Preprocessing

Resize: Stretch to 75x75
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Brightness: Between -15% and +15%

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