Dataset Versions

v1

2022-01-31 8:24pm

Generated on Jan 31, 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 71%
13262Images
Valid Set 20%
3673Images
Test Set 10%
1816Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 3 rows x 3 columns
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 1
Rotation: Between -15° and +15°
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels

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