Dataset Versions

v1

2024-02-19 8:34am

Generated on Feb 19, 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 92%
9340Images
Valid Set 5%
536Images
Test Set 3%
268Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 5
Flip: Horizontal
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.05% of pixels

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