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Abraham J.

@abramjos

5.0
2
2.8
2.8
100%

Machine Vision Engineer(DL)

$40 USD / Hour
・
Flag of
India (1:55 AM)
・
Joined on April 13, 2018
$40 USD / Hour
・
It always fascinates me the way machines understands our world to help the humanity. Cameras are the best way to gather data to understand about our world for machines and Lidar, radar, ultrasonics will help to validate that information. Having experience in automotive grade projects to facilitate machine vision, I feel that there is a lot of room for improvement in the vision as well the understanding the vision through the mighty CNNs. Looking forward to hear interesting projects from you guys!
Verifications
On time
100%
On budget
100%
Accept rate
86%
Freelancer Python Developers India
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Portfolio

Portfolio

4133830
YOLO v3 based on Joseph Redmon & Ali Farhadi, which is a much improved version of YOLO #1 & #2(You Only Look at Once) is a CNN algorithm used for object detection using bounding boxes annotation on the image. It offers same accuracy as the competing algorithms like retinanet are providing in 1/3 of the time taken by same algorithms. Here is a video output(video generated for one of my client) for his graduation project.
Yolo based real-time object detection for autonomous driving
4133820
Machine vision based articles with novel approaches[Medium]
4133737
These includes the basic detction and identification using yolo,ssd,retinanet, Vgg,alexanet,inception etc.. and the maskk RCNN aproaches like faster RCNN, mask RCNN, PSPNet,etc and in the depth development in a scene, I have been using CNNs to develop depth of a scene. And I am a competor in Kaggle competetions(I am trying to develop my own ways of exploring a project through them). And in all these operation the data preprocessing to fit into the model also has to be done/
Image processing projects accomplished so far
These includes the basic detction and identification using yolo,ssd,retinanet, Vgg,alexanet,inception etc.. and the maskk RCNN aproaches like faster RCNN, mask RCNN, PSPNet,etc and in the depth development in a scene, I have been using CNNs to develop depth of a scene. And I am a competor in Kaggle competetions(I am trying to develop my own ways of exploring a project through them). And in all these operation the data preprocessing to fit into the model also has to be done/
Image processing projects accomplished so far
These includes the basic detction and identification using yolo,ssd,retinanet, Vgg,alexanet,inception etc.. and the maskk RCNN aproaches like faster RCNN, mask RCNN, PSPNet,etc and in the depth development in a scene, I have been using CNNs to develop depth of a scene. And I am a competor in Kaggle competetions(I am trying to develop my own ways of exploring a project through them). And in all these operation the data preprocessing to fit into the model also has to be done/
Image processing projects accomplished so far
These includes the basic detction and identification using yolo,ssd,retinanet, Vgg,alexanet,inception etc.. and the maskk RCNN aproaches like faster RCNN, mask RCNN, PSPNet,etc and in the depth development in a scene, I have been using CNNs to develop depth of a scene. And I am a competor in Kaggle competetions(I am trying to develop my own ways of exploring a project through them). And in all these operation the data preprocessing to fit into the model also has to be done/
Image processing projects accomplished so far
4133733
I am very comfortable with all of these tools and frameworks and to facilitate multi-project management. I have been using environments to develop products based on computer vision technology using CNNs.
Tools,frameworks and coding languages that I am proficient
4133830
YOLO v3 based on Joseph Redmon & Ali Farhadi, which is a much improved version of YOLO #1 & #2(You Only Look at Once) is a CNN algorithm used for object detection using bounding boxes annotation on the image. It offers same accuracy as the competing algorithms like retinanet are providing in 1/3 of the time taken by same algorithms. Here is a video output(video generated for one of my client) for his graduation project.
Yolo based real-time object detection for autonomous driving
4133820
Machine vision based articles with novel approaches[Medium]
4133737
These includes the basic detction and identification using yolo,ssd,retinanet, Vgg,alexanet,inception etc.. and the maskk RCNN aproaches like faster RCNN, mask RCNN, PSPNet,etc and in the depth development in a scene, I have been using CNNs to develop depth of a scene. And I am a competor in Kaggle competetions(I am trying to develop my own ways of exploring a project through them). And in all these operation the data preprocessing to fit into the model also has to be done/
Image processing projects accomplished so far
These includes the basic detction and identification using yolo,ssd,retinanet, Vgg,alexanet,inception etc.. and the maskk RCNN aproaches like faster RCNN, mask RCNN, PSPNet,etc and in the depth development in a scene, I have been using CNNs to develop depth of a scene. And I am a competor in Kaggle competetions(I am trying to develop my own ways of exploring a project through them). And in all these operation the data preprocessing to fit into the model also has to be done/
Image processing projects accomplished so far
These includes the basic detction and identification using yolo,ssd,retinanet, Vgg,alexanet,inception etc.. and the maskk RCNN aproaches like faster RCNN, mask RCNN, PSPNet,etc and in the depth development in a scene, I have been using CNNs to develop depth of a scene. And I am a competor in Kaggle competetions(I am trying to develop my own ways of exploring a project through them). And in all these operation the data preprocessing to fit into the model also has to be done/
Image processing projects accomplished so far
These includes the basic detction and identification using yolo,ssd,retinanet, Vgg,alexanet,inception etc.. and the maskk RCNN aproaches like faster RCNN, mask RCNN, PSPNet,etc and in the depth development in a scene, I have been using CNNs to develop depth of a scene. And I am a competor in Kaggle competetions(I am trying to develop my own ways of exploring a project through them). And in all these operation the data preprocessing to fit into the model also has to be done/
Image processing projects accomplished so far
4133733
I am very comfortable with all of these tools and frameworks and to facilitate multi-project management. I have been using environments to develop products based on computer vision technology using CNNs.
Tools,frameworks and coding languages that I am proficient
Changes saved
5.0 · 2 Reviews
Reviews
S
make scatter plot - 01/05/2018 21:57 EDT • $30 USD
great
Peter M.
@solemech6
•
Flag of
champaign, United States
•
7 years ago
Share
User Avatar
Road signs recognition using Python and OpenCV • €200 EUR
Excellent job, it was done on time. I really recommend Abraham, he knows what is doing and is very dedicated about this. He also provided support after delivering the project.
Andrei C.
@AndreiCora
•
Flag of
Sighetu Marmatiei, Romania
•
7 years ago
Share
Experience
*******
Oct, 2013 - Mar, 2017
•
3 years, 5 months
**********
Oct, 2013 - Mar, 2017
•
3 years, 5 months
Experienced to run a firm and to handle a lot of customers in Computer Vision requirements to direct them to mature their ideas to implement a flawless product to suit their needs.
Oct, 2013 - Mar, 2017
•
3 years, 5 months
Education
University of Kerala
2013 - 2017
•
4 years
Electronics & Communication , Bachelor of Engineering
Flag of
India
2013 - 2017
•
4 years
Qualifications
Machine Learning-Data scientist A-Z (using R and Python)
2017
Udemy
2017
Convolution Neural Networks- Lazy Programmer
2016
Udemy
2016
Computer vision-Data scientist A-Z
2017
Udemy
2017
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