Dataset Versions

v3

Grayscaled Version

Generated on Mar 29, 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 87%
1452Images
Valid Set 8%
138Images
Test Set 5%
78Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 100% of images
Hue: Between -90° and +90°
Saturation: Between -65% and +65%
Brightness: Between -41% and +41%
Noise: Up to 3% of pixels
Mosaic: Applied
Bounding Box: Exposure: Between -60% and +60%