Dataset Versions

v8

2022-08-07 2:49pm

Generated on Aug 7, 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 73%
11381Images
Valid Set 13%
2011Images
Test Set 14%
2133Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 5 rows x 5 columns
Filter Null: Require at least 37% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Brightness: Between -25% and +25%
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±3° Horizontal, ±3° Vertical

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