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Felhasználó avatár
$3 USD / óra
TURKEY zászlója
istanbul, turkey
$3 USD / óra
Itt jelenleg ennyi az idő: 8:20 du.
Ekkor csatlakozott: július 11, 2017
0 ajánlás

Muhammad Shahzeb Khan G.

@MShahzebkhan

 5,0 (1 értékelés)
1,8
1,8
100%
100%
$3 USD / óra
TURKEY zászlója
istanbul, turkey
$3 USD / óra
100%
Teljesített megbízások
100%
Költségvetésen belül
100%
Határidőn belül
N/A
Ismételt megbízási arány

Technology Solution Provider

A dedicated team of researchers working in different fields such as Image Processing, Artificial Intelligence, Deep Learning, Embedded system designing, Website designing and IT solutions. Apart from the research, we are very much interested in providing the application-based solutions in all of the above mentioned fields. The basic aim is to develop good relations with the clients providing the best available solution for their problems with quality results and proper documentation.
Freelancer C# Programmers Turkey
Az összes C# Programmers mutatása itt: Turkey

Keresse Muhammad Shahzeb Khan G. felhasználót a munkájával kapcsolatban

Jelentkezzen be, hogy chaten keresztül megbeszélhessék a részleteket.

Portfólió

3645874
A very basic game developed for kids gaming Kiosk for a Pre-school.
Frog Crossing Game
A very basic game developed for kids gaming Kiosk for a Pre-school.
Frog Crossing Game
3645869
A window based system game developed as per client requirements i.e. the game should be similar to the very famous android game flappy bird. It was connected with the SQL database for saving player information and top scorer.
Flappy Bird windows based touch screen game
A window based system game developed as per client requirements i.e. the game should be similar to the very famous android game flappy bird. It was connected with the SQL database for saving player information and top scorer.
Flappy Bird windows based touch screen game
A window based system game developed as per client requirements i.e. the game should be similar to the very famous android game flappy bird. It was connected with the SQL database for saving player information and top scorer.
Flappy Bird windows based touch screen game
3613653
The task of this project was to perform OCR using convolution neural network on variable length captcha (max length = 7). The captcha characters were overlapping and sometimes the last letter is almost out of the picture i.e. more than half, which makes it difficult to decrypt using traditional OCR techniques. size of captcha images = 50x150x3 No of Convolution layers = 3 No of Fully connected layers = 2 Accuracy achieved on test samples = 83% (although the client required 50%) Training samples = 5000 Testing samples = 1000 The project was completed in 2 days once all the data was provided.
OCR on captcha images using Convolution neural network
The task of this project was to perform OCR using convolution neural network on variable length captcha (max length = 7). The captcha characters were overlapping and sometimes the last letter is almost out of the picture i.e. more than half, which makes it difficult to decrypt using traditional OCR techniques. size of captcha images = 50x150x3 No of Convolution layers = 3 No of Fully connected layers = 2 Accuracy achieved on test samples = 83% (although the client required 50%) Training samples = 5000 Testing samples = 1000 The project was completed in 2 days once all the data was provided.
OCR on captcha images using Convolution neural network
The task of this project was to perform OCR using convolution neural network on variable length captcha (max length = 7). The captcha characters were overlapping and sometimes the last letter is almost out of the picture i.e. more than half, which makes it difficult to decrypt using traditional OCR techniques. size of captcha images = 50x150x3 No of Convolution layers = 3 No of Fully connected layers = 2 Accuracy achieved on test samples = 83% (although the client required 50%) Training samples = 5000 Testing samples = 1000 The project was completed in 2 days once all the data was provided.
OCR on captcha images using Convolution neural network
The task of this project was to perform OCR using convolution neural network on variable length captcha (max length = 7). The captcha characters were overlapping and sometimes the last letter is almost out of the picture i.e. more than half, which makes it difficult to decrypt using traditional OCR techniques. size of captcha images = 50x150x3 No of Convolution layers = 3 No of Fully connected layers = 2 Accuracy achieved on test samples = 83% (although the client required 50%) Training samples = 5000 Testing samples = 1000 The project was completed in 2 days once all the data was provided.
OCR on captcha images using Convolution neural network
The task of this project was to perform OCR using convolution neural network on variable length captcha (max length = 7). The captcha characters were overlapping and sometimes the last letter is almost out of the picture i.e. more than half, which makes it difficult to decrypt using traditional OCR techniques. size of captcha images = 50x150x3 No of Convolution layers = 3 No of Fully connected layers = 2 Accuracy achieved on test samples = 83% (although the client required 50%) Training samples = 5000 Testing samples = 1000 The project was completed in 2 days once all the data was provided.
OCR on captcha images using Convolution neural network
3592261
Antenna pedestal unit desktop application for the tracking of drone and maintaining a line of sight. The application is communicating with the embedded systems which control the motion of AC servo motors used for elevation and azimuth.
Antenna Pedestal Unit
Antenna pedestal unit desktop application for the tracking of drone and maintaining a line of sight. The application is communicating with the embedded systems which control the motion of AC servo motors used for elevation and azimuth.
Antenna Pedestal Unit
Antenna pedestal unit desktop application for the tracking of drone and maintaining a line of sight. The application is communicating with the embedded systems which control the motion of AC servo motors used for elevation and azimuth.
Antenna Pedestal Unit
Antenna pedestal unit desktop application for the tracking of drone and maintaining a line of sight. The application is communicating with the embedded systems which control the motion of AC servo motors used for elevation and azimuth.
Antenna Pedestal Unit
3645874
A very basic game developed for kids gaming Kiosk for a Pre-school.
Frog Crossing Game
A very basic game developed for kids gaming Kiosk for a Pre-school.
Frog Crossing Game
3645869
A window based system game developed as per client requirements i.e. the game should be similar to the very famous android game flappy bird. It was connected with the SQL database for saving player information and top scorer.
Flappy Bird windows based touch screen game
A window based system game developed as per client requirements i.e. the game should be similar to the very famous android game flappy bird. It was connected with the SQL database for saving player information and top scorer.
Flappy Bird windows based touch screen game
A window based system game developed as per client requirements i.e. the game should be similar to the very famous android game flappy bird. It was connected with the SQL database for saving player information and top scorer.
Flappy Bird windows based touch screen game
3613653
The task of this project was to perform OCR using convolution neural network on variable length captcha (max length = 7). The captcha characters were overlapping and sometimes the last letter is almost out of the picture i.e. more than half, which makes it difficult to decrypt using traditional OCR techniques. size of captcha images = 50x150x3 No of Convolution layers = 3 No of Fully connected layers = 2 Accuracy achieved on test samples = 83% (although the client required 50%) Training samples = 5000 Testing samples = 1000 The project was completed in 2 days once all the data was provided.
OCR on captcha images using Convolution neural network
The task of this project was to perform OCR using convolution neural network on variable length captcha (max length = 7). The captcha characters were overlapping and sometimes the last letter is almost out of the picture i.e. more than half, which makes it difficult to decrypt using traditional OCR techniques. size of captcha images = 50x150x3 No of Convolution layers = 3 No of Fully connected layers = 2 Accuracy achieved on test samples = 83% (although the client required 50%) Training samples = 5000 Testing samples = 1000 The project was completed in 2 days once all the data was provided.
OCR on captcha images using Convolution neural network
The task of this project was to perform OCR using convolution neural network on variable length captcha (max length = 7). The captcha characters were overlapping and sometimes the last letter is almost out of the picture i.e. more than half, which makes it difficult to decrypt using traditional OCR techniques. size of captcha images = 50x150x3 No of Convolution layers = 3 No of Fully connected layers = 2 Accuracy achieved on test samples = 83% (although the client required 50%) Training samples = 5000 Testing samples = 1000 The project was completed in 2 days once all the data was provided.
OCR on captcha images using Convolution neural network
The task of this project was to perform OCR using convolution neural network on variable length captcha (max length = 7). The captcha characters were overlapping and sometimes the last letter is almost out of the picture i.e. more than half, which makes it difficult to decrypt using traditional OCR techniques. size of captcha images = 50x150x3 No of Convolution layers = 3 No of Fully connected layers = 2 Accuracy achieved on test samples = 83% (although the client required 50%) Training samples = 5000 Testing samples = 1000 The project was completed in 2 days once all the data was provided.
OCR on captcha images using Convolution neural network
The task of this project was to perform OCR using convolution neural network on variable length captcha (max length = 7). The captcha characters were overlapping and sometimes the last letter is almost out of the picture i.e. more than half, which makes it difficult to decrypt using traditional OCR techniques. size of captcha images = 50x150x3 No of Convolution layers = 3 No of Fully connected layers = 2 Accuracy achieved on test samples = 83% (although the client required 50%) Training samples = 5000 Testing samples = 1000 The project was completed in 2 days once all the data was provided.
OCR on captcha images using Convolution neural network
3592261
Antenna pedestal unit desktop application for the tracking of drone and maintaining a line of sight. The application is communicating with the embedded systems which control the motion of AC servo motors used for elevation and azimuth.
Antenna Pedestal Unit
Antenna pedestal unit desktop application for the tracking of drone and maintaining a line of sight. The application is communicating with the embedded systems which control the motion of AC servo motors used for elevation and azimuth.
Antenna Pedestal Unit
Antenna pedestal unit desktop application for the tracking of drone and maintaining a line of sight. The application is communicating with the embedded systems which control the motion of AC servo motors used for elevation and azimuth.
Antenna Pedestal Unit
Antenna pedestal unit desktop application for the tracking of drone and maintaining a line of sight. The application is communicating with the embedded systems which control the motion of AC servo motors used for elevation and azimuth.
Antenna Pedestal Unit

Értékelések

Változtatások elmentve
1 - 1 / 1 értékelés látható
Vélemények szűrése ez alapján:
5,0
$82,00 USD
OCR some images
5 stars. Very satisfy!!! He is really a professional on OCR and python. Best recommended. I will hire him again. Thanks.
C Programming
C# Programming
VB.NET
OpenCV
Felhasználó avatár
zászlója Le Q.
@litiqi
•
7 évvel ezelőtt

Tapasztalat

Research Assistant

Medipol University Istanbul
aug. 2016 - Jelenleg
Doing research in the field of deep learning, image processing and computer vision

Design Engineer

Genesis Solutions Pvt Ltd
jún. 2016 - júl. 2017 (1 év, 1 hónap)
-Proficient in C/C++, C#, VHDL. -Working on multiple Embedded Platforms e.g. FPGA, ARM, Arduino and Microchip Controllers. -Developed cross-platform GUI controls using C# code shared between Windows and all embedded targets, in the control loading project. -Conceptualized, planned, and designed software and hardware needs for project

Keresse Muhammad Shahzeb Khan G. felhasználót a munkájával kapcsolatban

Jelentkezzen be, hogy chaten keresztül megbeszélhessék a részleteket.

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