Dataset Versions

v11

data1

Generated on Nov 5, 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 71%
243Images
Valid Set 16%
54Images
Test Set 13%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -90° and +90°
Blur: Up to 4px
Bounding Box: Blur: Up to 3px

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