Dataset Versions

v5

2022-12-15 10-54am tiled 4x 320

Generated on Dec 15, 2022

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 90%
30719Images
Valid Set 7%
2258Images
Test Set 4%
1301Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require at least 39% of images to contain annotations.

Augmentations

Outputs per training example: 4
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°

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