Dataset Versions

v12

2022-06-27 3:49pm

Generated on Jun 27, 2022

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%
1728Images
Valid Set 7%
140Images
Test Set 4%
88Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Hue: Between -25° and +25°
Brightness: Between -10% and +10%
Blur: Up to 1.25px
Noise: Up to 3% of pixels
Cutout: 6 boxes with 3% size each
Mosaic: Applied
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

Similar Projects

See More
157 images 1 model
81 images 2 models