Dataset Versions

v3

1x 50-50

Generated on May 7, 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
Choose another format.

Dataset Split

Train Set 50%
1053Images
Valid Set 50%
1064Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1856x890
Tile: 6 rows x 6 columns
Filter Null: Require at least 99% of images to contain annotations.

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -25° and +25°

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