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Object Detection from already existed model in tensorflow python

$30-250 USD

Closed
Posted over 5 years ago

$30-250 USD

Paid on delivery
I am using coco data model for object detection. it detects pretty much everything but I want just to select one or two items. eg. cups and bottles only. secondly, I want to have middle coordinates values of the detected object instead of boxes overlap. P.S. The entire code will be given to you and you have to write a method to just filter out desired objects and display their coordinates in the console
Project ID: 17890494

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15 proposals
Remote project
Active 5 yrs ago

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15 freelancers are bidding on average $144 USD for this job
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Hello, there, I am very happy to put my bid on your project. I am an expert of object detection and senior python developer, so I am interested in and confident to do this project. I hope to discuss everything of the project in detail with you and work on this project with you. Regards.
$150 USD in 3 days
4.7 (37 reviews)
5.9
5.9
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Hello, Hope you are doing well. I can help with you in your project Object Detection from already existed model in tensorflow python. I can assure you the quality job. I have good experience in OpenCV, Python, Tensorflow. We have worked on several similar projects before! We have worked on 400+ Projects. Please check the profile reviews. I can deliver your job with in your deadline. Please ping me for more discussion. I can assure the 100% job satisfaction. Thanks,
$250 USD in 4 days
4.9 (30 reviews)
5.7
5.7
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Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machine learning/Deep Learning, Image processing and Signal processing. I have knowledge and understanding of state of the art machine learning algorithms like SVM, neaural networks as well as basic algos like KNN and clustering. I have also worked with sklearn and keras in PYTHON. I have experience with tensorflow,Keras,Pytorch and a ot of other ML libraries. I have recently organized a bootcamp on AI and machine learning in my university. Due to my vast coding experience , I can handle your project with quality work. Kindly share some more details so that I can offer the exact solution to your problem. Regards
$155 USD in 3 days
5.0 (21 reviews)
5.2
5.2
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Hi there, I would like to be considered for your project. I have 3+ years of experience in deep learning and tensorflow. I'll be glad to help. Best regards, Andrew
$120 USD in 3 days
5.0 (36 reviews)
4.9
4.9
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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.
$140 USD in 2 days
4.6 (30 reviews)
5.3
5.3
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Hi, I am very interested in your project. I have many experiences in object detection using opencv, tensorflow, YOLO and so on. so I have a confidence in your project. Also, I am the expert in Python programming language, so I can interpret Python code and make it as in you want. I can start to work right now. I will provide qualifying result within deadline. Also, assure the on-going co-operation and satisfaction of all project for you. I look forward to your good reply. Thank you for reading my proposal. Best regards,
$166 USD in 3 days
5.0 (7 reviews)
4.6
4.6
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Hi, I am an engineer specializing in vision based projects using deep learning. I have worked on several object detection, tracking and segmentation applications using deep learning (CNN) and other algorithms. I have worked with tensorflow, keras, pytorch DL libraries and also worked on object detection (Yolo, etc) in few projects. With my knowledge and experience, I am sure I can complete this task successfully. Regards, Dilina.
$115 USD in 2 days
4.9 (7 reviews)
4.0
4.0
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Hi, I am working in Python and Tensorflow for more than two years and I can write a function to filter out mentioned two classes of objects and to display their coordinates in console. Best, Vedran
$50 USD in 3 days
5.0 (5 reviews)
3.2
3.2
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Hi, I have done this kind of work with the res-net which I used on the places-365 dataset. The model initially was detecting 365 different types of environment but I changed it to detect only indoor and outdoor scene. I used transfer learning for this project where I only trained the last two layers. Since I am new on this site and still trying to build a successful clientele I am willing to work at a lower price and help you with other projects if you want.
$133 USD in 3 days
4.9 (4 reviews)
3.0
3.0
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Its more of work than just using coco pre-trained model. Its not almost completed but just the beginning for your requirement. I have been working on this kind of project. I think i can help you on this and i'm very much confident. I'm new to freelancer so don't judge me by rating and stuff. We can talk more on chat.
$100 USD in 10 days
0.0 (0 reviews)
0.6
0.6
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Hello there, I read your requirement for object detection and i can provide you solution of your requirement and i can provide only cup and bottle or other object. let me know about work so that i can give you more details about it. Thanks
$150 USD in 2 days
0.0 (0 reviews)
0.0
0.0
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I already worked with tensorflow and specifically with the coco dataset. I would really like to help you with your problem!
$150 USD in 2 days
0.0 (0 reviews)
0.0
0.0
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Hi! I’m an Electronics & Computer Engineer and I’ve been working on Image Processing by using both conventional methods and Deep Learning for over 3 years. I developed solutions for companies in smart city and smart traffic area; including problems like pedestrian, vehicle and obstacle detection and motion detection. I have a solid experience on transfer learning, and I can provide you a quick solution to filter out the classes you need, and correctly describe their properties (like their center coordinates as you say) for your problem. I am looking forward to work with you. Best Regards, Deniz
$200 USD in 3 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of CHINA
Shenyang, China
5.0
2
Member since Sep 23, 2011

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