Experiment with augmentation more

[robmarkcole]

Getting pretty unsatisfactory performance. The article below highlights that flames are a difficult target: wildfires have one of the most complicated features to obtain through CV, including flame height, flame inclination angle, firebase width, etc. Any deviation or improper prediction of the measures above can result in poor model performance. Image augmentation should help

https://blog.superannotate.com/ai-fire-detection/

[robmarkcole]

• In ice-vision notebooks we are applying default augmentations with aug_tfms