Dataset Versions

v23

2024-10-14 1:35pm

Generated on Oct 14, 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 90%
1047Images
Valid Set 10%
120Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Grayscale: Applied
Modify Classes: 0 remapped, 10 dropped
Filter Null: Require at least 97% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -1° and +1°
Brightness: Between -25% and +25%
Blur: Up to 0.1px

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