YOLO-Darknet Average loss is not decreasing
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I am trying to train my Custom Object in Yolo Darknet with class ->2 ,filter(21),collected around 5000 images of size (1106x620), set Learning rate .01
batch is 64, ans sub division is 16.
Observation-
after 500 - 3000 of iteration , i can see average loss is in between 7.2 to 7.4
Please let me know how should i improve my average loss ?
yolo darknet
asked Nov 15 '18 at 11:21
Baiju MishraBaiju Mishra
61
add a comment |
I am trying to train my Custom Object in Yolo Darknet with class ->2 ,filter(21),collected around 5000 images of size (1106x620), set Learning rate .01
batch is 64, ans sub division is 16.
Observation-
after 500 - 3000 of iteration , i can see average loss is in between 7.2 to 7.4
Please let me know how should i improve my average loss ?
yolo darknet
asked Nov 15 '18 at 11:21
Baiju MishraBaiju Mishra
61
add a comment |
I am trying to train my Custom Object in Yolo Darknet with class ->2 ,filter(21),collected around 5000 images of size (1106x620), set Learning rate .01
batch is 64, ans sub division is 16.
Observation-
after 500 - 3000 of iteration , i can see average loss is in between 7.2 to 7.4
Please let me know how should i improve my average loss ?
yolo darknet
asked Nov 15 '18 at 11:21
Baiju MishraBaiju Mishra
61
I am trying to train my Custom Object in Yolo Darknet with class ->2 ,filter(21),collected around 5000 images of size (1106x620), set Learning rate .01
batch is 64, ans sub division is 16.
Observation-
after 500 - 3000 of iteration , i can see average loss is in between 7.2 to 7.4
Please let me know how should i improve my average loss ?
yolo darknet
yolo darknet
asked Nov 15 '18 at 11:21
Baiju MishraBaiju Mishra
61
asked Nov 15 '18 at 11:21
Baiju MishraBaiju Mishra
61
asked Nov 15 '18 at 11:21
Baiju MishraBaiju Mishra
61
asked Nov 15 '18 at 11:21
Baiju MishraBaiju Mishra
61
asked Nov 15 '18 at 11:21
Baiju MishraBaiju Mishra
61
61
add a comment |
add a comment |
1 Answer
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Loss might be stuck in between but It might not be accuracy criteria if you are doing object detection.
try to calculate Mean Average Precision(MAp) using the command (if you are using original YoLo repository)
./darknet detector map data/obj.data yolo-obj.cfg backupyolo-obj_7000.weights
answered Nov 20 '18 at 7:58
Arjun KavaArjun Kava
669415
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Loss might be stuck in between but It might not be accuracy criteria if you are doing object detection.
try to calculate Mean Average Precision(MAp) using the command (if you are using original YoLo repository)
./darknet detector map data/obj.data yolo-obj.cfg backupyolo-obj_7000.weights
answered Nov 20 '18 at 7:58
Arjun KavaArjun Kava
669415
add a comment |
Loss might be stuck in between but It might not be accuracy criteria if you are doing object detection.
try to calculate Mean Average Precision(MAp) using the command (if you are using original YoLo repository)
./darknet detector map data/obj.data yolo-obj.cfg backupyolo-obj_7000.weights
answered Nov 20 '18 at 7:58
Arjun KavaArjun Kava
669415
add a comment |
Loss might be stuck in between but It might not be accuracy criteria if you are doing object detection.
try to calculate Mean Average Precision(MAp) using the command (if you are using original YoLo repository)
./darknet detector map data/obj.data yolo-obj.cfg backupyolo-obj_7000.weights
answered Nov 20 '18 at 7:58
Arjun KavaArjun Kava
669415
Loss might be stuck in between but It might not be accuracy criteria if you are doing object detection.
try to calculate Mean Average Precision(MAp) using the command (if you are using original YoLo repository)
./darknet detector map data/obj.data yolo-obj.cfg backupyolo-obj_7000.weights
answered Nov 20 '18 at 7:58
Arjun KavaArjun Kava
669415
answered Nov 20 '18 at 7:58
Arjun KavaArjun Kava
669415
answered Nov 20 '18 at 7:58
Arjun KavaArjun Kava
669415
answered Nov 20 '18 at 7:58
Arjun KavaArjun Kava
669415
669415
add a comment |
add a comment |
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