Dataset Versions

v1

HD640NC

Generated on Aug 19, 2021

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 90%
3375Images
Valid Set 10%
375Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 58% of images
Hue: Between -42° and +42°
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 3% of pixels
Mosaic: Applied

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