Dataset Versions

v2

2024-08-07 10:09am

Generated on Aug 7, 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 87%
1530Images
Valid Set 2%
40Images
Test Set 10%
182Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 24% of images
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.53% of pixels

Similar Projects

See More
732 images 1 model
LPR A
730 images
680 images