Passenger2 Dataset

v1

2021-09-02 1:36am

Generated on Sep 1, 2021

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 49%
698Images
Valid Set 44%
628Images
Test Set 7%
103Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -90° and +90°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 3% of pixels

Similar Projects

See More