Dataset Versions

v17

0.2_Shaposhnikov

Generated on Oct 14, 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.
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Dataset Split

Train Set 88%
6224Images
Valid Set 6%
428Images
Test Set 5%
386Images

Preprocessing

Resize: Stretch to 640x640
Tile: 2 rows x 1 columns

Augmentations

Outputs per training example: 2
90° Rotate: Upside Down
Rotation: Between -0° and +0°
Bounding Box: Flip: Applied
Bounding Box: Shear: ±0° Horizontal, ±0° Vertical

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