Dataset Versions

v1

2024-01-07 5:08pm

Generated on Jan 7, 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 96%
1350Images
Valid Set 4%
60Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 5 columns

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±14° Vertical
Grayscale: Apply to 9% of images

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