Dataset Versions

v2

2023-06-13 3:51pm

Generated on Jun 13, 2023

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 37%
3654Images
Valid Set 9%
936Images
Test Set 53%
5274Images

Preprocessing

Resize: Stretch to 1024x1024
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -20° and +20°
Brightness: Between -25% and +25%
Blur: Up to 2.75px

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