Dataset Versions

v2

2023-08-02 5:25pm

Generated on Aug 2, 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.
Other Formats
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Dataset Split

Train Set 96%
471Images
Valid Set %
0Images
Test Set 4%
19Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -34% and +34%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 5% of pixels

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