Dataset Versions

v1

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Generated on Jun 12, 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 30%
252Images
Valid Set 42%
351Images
Test Set 27%
225Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
Saturation: Between -49% and +49%
Noise: Up to 8% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Exposure: Between -25% and +25%

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