How do I crop faces with a neural network?
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I am looking to build a facial recognition system and realized I could probably pump up accuracy by first cropping the faces. I know I can use a Haar Cascade classifier to do this but would prefer to use a deep learning approach, as that is my current area of focus. To do this do I simply create a CNN with inputs being an image and outputs being the X, Y, Width, Height? Or is there more to it? I have tried this approach with an Adam optimizer and around 600 pictures but results haven't been great. Any ideas on how to improve this?
python deep-learning keras
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$begingroup$
I am looking to build a facial recognition system and realized I could probably pump up accuracy by first cropping the faces. I know I can use a Haar Cascade classifier to do this but would prefer to use a deep learning approach, as that is my current area of focus. To do this do I simply create a CNN with inputs being an image and outputs being the X, Y, Width, Height? Or is there more to it? I have tried this approach with an Adam optimizer and around 600 pictures but results haven't been great. Any ideas on how to improve this?
python deep-learning keras
asked 4 mins ago
user3647894user3647894
1
New contributor
user3647894 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am looking to build a facial recognition system and realized I could probably pump up accuracy by first cropping the faces. I know I can use a Haar Cascade classifier to do this but would prefer to use a deep learning approach, as that is my current area of focus. To do this do I simply create a CNN with inputs being an image and outputs being the X, Y, Width, Height? Or is there more to it? I have tried this approach with an Adam optimizer and around 600 pictures but results haven't been great. Any ideas on how to improve this?
python deep-learning keras
asked 4 mins ago
user3647894user3647894
1
New contributor
user3647894 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am looking to build a facial recognition system and realized I could probably pump up accuracy by first cropping the faces. I know I can use a Haar Cascade classifier to do this but would prefer to use a deep learning approach, as that is my current area of focus. To do this do I simply create a CNN with inputs being an image and outputs being the X, Y, Width, Height? Or is there more to it? I have tried this approach with an Adam optimizer and around 600 pictures but results haven't been great. Any ideas on how to improve this?
python deep-learning keras
python deep-learning keras
asked 4 mins ago
user3647894user3647894
1
New contributor
user3647894 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 mins ago
user3647894user3647894
1
New contributor
user3647894 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 mins ago
user3647894user3647894
1
New contributor
user3647894 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 4 mins ago
user3647894user3647894
1
asked 4 mins ago
user3647894user3647894
1
1
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user3647894 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
user3647894 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
user3647894 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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