Dataset Versions

v4

2024-12-09 10:57am

Generated on Dec 9, 2024

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 62%
627Images
Valid Set 29%
296Images
Test Set 9%
95Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 19% of images
Hue: Between -18° and +18°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 4.4px
Noise: Up to 1.68% of pixels

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