Tensorflow Jobs

I want a Ml Setup on AWS that compares videos to say wether luggage has bed bug or not . Object detection task in video format Milestones for payment - 1) in a video from YouTube detect BED BUG by training a tensorflow ML model 3) install the ML MODEL In my AWS . 3)make a app for android mobile that uploads these videos to S3 on my AWS to check for bed bugs

We are looking for somebody that can build us an Android app that implements a rudimentary parking lot management system. This includes real-time object detection of cars in the camera feed, sending pictures to our sever for OCR analysis and then getting the results, visualizing them and storing them. We thought about it being based on Tensorflow lite using a MobileNet SSD for object detection. Fu...

Design deep learning system using tensorflow, datasets will be provided

Design deep learning system using tensorflow, datasets will be provided

Design deep learning system using tensorflow, datasets will be provided

We want an application that can train and give mlmodel as an output with given style input image. We will give it different style images and it will train it and give us mlmodel output. Mlmodel should accept different size of images as input and output.

Design deep learning system using tensorflow, datasets will be provided

We are looking to use ML to solve volumetric capture. e.g. [login to view URL] [login to view URL] [login to view URL] [login to view URL] We believe that ML may be the solution. We currenlty have 3 Azure Kinects - The idea is to place these 120 degrees apart and have a simple slow moving (rotating?) shape. The AI would then solve the 3 cameras into one alligned output. We can then give t...

I need a running code using simple transformers library to get a multilabel and multiclass classifier! I will be having a ecommerce reviews data set. Example--> 1-the product is good but the price is high expected output--> product = Positive , Price = Negative, Delivery = Neutral, Packaging = Neutral 2- the product is average but the delivery was very fast expected output -> product= N...

I'm the CIO of an outdoor venue in Melbourne, Australia. A challenge I've been given is to know how many people are on the site. Luckily we have 100+ CCTV cameras covering the whole site and a variety of angles. In researching I have found that there are vast improvements in Crowd Counting Algorithms on images that could be used. My project request is to build a .NET component that ...

I need a Tensorflow lite([login to view URL] would be better) project which detect a 3D object by an android mobile phone camera. 1. Input: Camera on an android phone + point cloud(or mesh) of an object(like a watch, a cola etc...). 2. Output: 3D box on the object in the android camera view. 3. Detailed comment out needed for the codes due to documentation. 4. I need to train and infer another ob...

Needs to hire 3 Freelancers We are looking for engineers to help with a machine learning project. It would be helpful if you are fluent with Cypher, but it is not a requirement. This will be predictive analytics based on a combination of google ad data and our own proprietary data. We have a significant amount of data to build the models with over a long period. (Around a billion in ad spend over...

Develop the text and image analytics algorithm for display appropriate result from volume of pdf data bank.

I need your help to develop a recommender system for matching people to occupations/careers that they may be a good match for. The system should continue to learn / evolve as new data is input. Occupation data will be provided as well as links to relevant literature. You will need to source relevant resume' datasets, though I can provide a few links to consider. This will be a lot of fun!!...

I am here to post about the machine learning project by using TensorFlow Spyder IDE. Any expert in this field to know the optimization process for spectral and energy efficiency by using Dueling Deep Q-network. I will provide the code which I created for power optimization by using DQN. Now I need to define the environment for these two parameters (energy efficiency and spectral efficiency) with p...

Build innovative deep learning framework using unique optimization algorithms I want to edit existing deep learning models like CNN and replace optimization from Gradient Descent to Metaheuristic

Looking for a machine learning engineer to develop a robust model that will: Using language models/NLP/NLU, or related algorithms, and: - Given unstructured recipes extracted as text, or text arrays (e.g. one ingredient per line) - Extract the ingredients, associated quantities, and other elements of the individual recipe / instructions. - Provide the working model wrapped in an API interface ...

I need you to train model with available ecg arrhythmia detection dataset and convert it into tflite format. Please read paper attached for ready reference. Apply only if worked on such problem statements. Reference: [login to view URL]

Hi, Thank you for your interest in this project. Essentially, we have developed a program (via TensorFlow) that allows a user to detect objects via a webcam - and for these objects to be subsequently translated into a potential of 5 different languages. In addition, we've used [login to view URL] to create the camera detection functionality. However, [login to view URL] doesn't support ...

We are looking for someone who has meaningful experience in pose detection. By learning the relationship between pose and real-world video footage, we want to be able to transfer motion between two people in a realistic way. We are trying to create a product that would allow two distinct motions to be detected, compared and corrected. If interested, we will review the brief with you and request a...