Face Recognition of NN and AlexNet by python on ORL database
Bajet $250-750 CAD
Face Recognition of NN and AlexNet by python
Details: Cost of project :250 Canadian dollar. ( Fixed price)
25 C$ : start project ,
100 c$: received code,
50 c$ : after setup and run,
75 c$ :after out put result and testing. Last step (output and testing): maybe need two weeks to four weeks.
Deadline: August 20, 2018.
Used ORL database.
Implement below algorithms by python (version 3.6 or 3.5)
1- NN : attach paper help you.
2- 2- Alex Net : the link below help you .
[login to view URL]~guerzhoy/tf_alexnet/ [login to view URL]
A. First experiment: Only one image per person will be used for the training. Thus, the total number of images in the training dataset is 40 images. During this experiment, we will check three different use-cases for the test images:
1- A test image (different from the training images) is used with no added noise.
2- The Gaussian noise is synthesized into to the test images and the result noisy images are used for testing.
3- The salt and pepper noise is added to the test images similar to the Gaussian noise.
B. Second experiment: In the second experiment, Only Five images per person will be used for training. Thus, the total number of images in the dataset is 200 images. During this experiment, three different use-cases will be checked for the test images:
1- A test image (different from the training images) is used with no added noise.
2- The Gaussian noise is synthesized into to the test images and the result noisy images are used for testing.
3- The salt and pepper noise is added to the test images similar to the Gaussian noise.
C. In each use-case, the three facial recognition algorithms are compared using the following two measures: 1- Accuracy percentage (100%). 2- Execution time (sec).
Attached have a sample What did you do, PDF file , and Database.
Dianugerahkan kepada:
I'm very interested in your project. I have a lot of experience with Neural Network and Tensorflow. Please contact me so that we can discuss in detail. Thank you in advance.
17 pekerja bebas membida secara purata $358 untuk pekerjaan ini
-Professional Algorithm, Machine Learning, Mathematics, Python, Statistics expert ! Best Result in Time!--- Hello sir. I've really rich experience for your project, so your project is very interesting to me. I'm rea Lagi
Hello, dear! I am interested in your project. I have extensive experience in this field. As a developer with rich experience, I am confident about your project. I can provide perfect results in a short time. If yo Lagi
Hello, Greetings of the day.!! Your project attracted my attention at first glance, because I've really rich experience in Machine Learning & Python Programming. I have worked on several similar projects before! I'm Lagi
Hi, there - My name is Phong. I have read your job description and I am very interested in this project because I have good experience with face recognition on ORL database. I would love to speak with you further abo Lagi
Hello! I am a python developer. I looked at your project and it seems interesting. I have all necessary skills required for this project. Ping me to discuss in detail.
Hello sir. I'm excited about your project, because I've really rich experience in Face Recognition & Alexnet Programming. I've developed many projects similar to yours and excellent skills. If you award me, I'll pro Lagi
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1- A test image (different from the training images) is used with no added noise. 2- The Gaussian noise is synthesized into to the test images and the result noisy images are used for testing. 3- The salt and pep Lagi
UPenn Data Science graduate, working at a multinational firm with extensive experience in Machine Learning. "[login to view URL]" : Can get my full credentials here, including various ML cours Lagi
I have 4 yrs of experience in deep learning and image processing. I am very much confident about this project. I have worked on face recognition project earlier. I have used dlib library to solve this. Using Dlib yo Lagi
Dear Sir, Project schedule and content is suitable for me. Thank you very much in advance. Best regards
So basically we need to build a codebase that will use Alexnet basis and add SVN (Support Vector Clustering specifically) as an classifier, all wrapped in N*(N-1)/2 classifications. There are some details to discuss Lagi
