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Using the pre trained yolo9000 model with Python I notice that is much less accurate than yolov2, and I guess it's normal because it has to detect more classes. Right now I am looking for detecting landscapes (as sea shore, lake shore, mountains, deserts and things like these), so I was wondering if you could give me some guidelines to train the weights since I have no background in this. Beside the code I would like to know a good sample size for each class and the if it takes a long time with a fairly good machine. Thank you a lot !
The text was updated successfully, but these errors were encountered:
Using the pre trained yolo9000 model with Python I notice that is much less accurate than yolov2, and I guess it's normal because it has to detect more classes. Right now I am looking for detecting landscapes (as sea shore, lake shore, mountains, deserts and things like these), so I was wondering if you could give me some guidelines to train the weights since I have no background in this. Beside the code I would like to know a good sample size for each class and the if it takes a long time with a fairly good machine. Thank you a lot !
The text was updated successfully, but these errors were encountered: