Dataset Versions

v7

2024-04-05 10:46am

Generated on Apr 5, 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
Choose another format.

Dataset Split

Train Set 88%
1335Images
Valid Set 8%
126Images
Test Set 4%
62Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±6° Horizontal, ±6° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -21% and +21%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.3px

Similar Projects

See More