Dataset Versions

v4

2024-05-02 12:45am

Generated on May 1, 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.
Other Formats
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Dataset Split

Train Set 88%
227Images
Valid Set 8%
20Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-78% Horizontal Region, 25-90% Vertical Region
Resize: Stretch to 700x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 5 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -13° and +13°
Brightness: Between -20% and +0%

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