Dataset Versions

v5

2022-05-16 2:21am

Generated on May 16, 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.
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Dataset Split

Train Set 96%
1104Images
Valid Set 4%
44Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -34° and +34°
Blur: Up to 2px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -23° and +23°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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