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I want to create 2 binary classifier model

1) Fire detection

2) Smoke detection

Can you please suggest which will be better to train LBP cascade(It require annotated data) or SVM/Logistic regression/ or any other deep learning binary classifier(Inception-v3, Dense-net)?

I have a positive and negative dataset of both fire and smoke dataset.

My concern here is speed(accuracy around 80% is acceptable)!

I want to create 2 binary classifier model

1) Fire detection

2) Smoke detection

Can you please suggest which will be better to train LBP cascade(It require annotated data) or SVM/Logistic regression/ or any other deep learning binary classifier(Inception-v3, Dense-net)?

I have a positive and negative dataset of both fire and smoke dataset.

My concern here is speed(accuracy around 80% is acceptable)!

I want to create 2 binary classifier model

1) Fire detection

2) Smoke detection

Can you please suggest which will be better to train LBP cascade(It require annotated data) or SVM/Logistic regression/ or any other deep learning binary classifier(Inception-v3, Dense-net)?

I have a positive and negative dataset of both fire and smoke dataset.

My concern here is speed(accuracy around 80% is acceptable)!

One of the test image is as bellow.

I want to create 2 binary classifier model

1) Fire detection

2) Smoke detection

Can you please suggest which will be better to train LBP cascade(It require annotated data) or SVM/Logistic regression/ or any other deep learning binary classifier(Inception-v3, Dense-net)?

I have a positive and negative dataset of both fire and smoke dataset.

My concern here is speed(accuracy around 80% is acceptable)!

One of the test image is as bellow.