Deep Learning Jobs

I'm seeking a Deep Learning Specialist to enhance my model's prediction accuracy to 96%. The model primarily deals with image data. Key Responsibilities: - Improve the Deep Learning model's predictive capabilities on images. - Ensure the model's accuracy meets or exceeds the 96% threshold. Ideal Skills: - Profound understanding of Deep Learning methodologies. - Extensive experience with image data, particularly medical images. - Proven track record in improving model accuracy. Please provide examples of previous work that align with this project.

I'm looking for an expert in energy management systems to help develop strategies tailored for both office and residential buildings. The primary focus is on reducing energy costs, including optimization of power for better efficiency while also integrating the use of solar power as a renewable energy source. Key Responsibilities: - Design an energy management system that caters to both office (Electric Vehicles) and residential buildings. - Incorporate strategies that utilize solar power effectively. - Prioritize cost reduction in energy expenditure. The ideal freelancer for this project should have extensive experience in building energy management systems, a strong understanding of solar power integration, and a proven track record in energy cost reduction strategies.

I'm seeking a skilled professional to oversee the inspection of my shoe production line. The primary task will be verifying the products for defects such as scratches, stains, and color errors prior to packing. Key responsibilities include: - Utilizing machine vision systems for defect detection - Implementing checks with stationary cameras - Identifying and flagging all types of defects The ideal candidate for this task will have extensive experience in quality control and defect detection in a production environment. Proficiency with machine vision systems and stationary cameras is crucial. Attention to detail and the ability to work under pressure are essential.

I'm in need of seasoned professionals who can develop and optimize a detection and tracking system for various vehicles, specifically focusing on cars and bikes. The primary focus of this project is accurate vehicle identification. Computer Vision Engineer: - Must have proficiency in Python, OpenCV, and deep learning frameworks like TensorFlow or PyTorch. - Extensive experience with object detection models (especially YOLO series) and tracking algorithms (DeepSORT or ByteTrack) is crucial. - Tasked with developing the core detection and tracking logic. This includes ensuring accurate vehicle identification, direction tracking, and swift response to capture high-speed vehicles. Machine Learning Engineer: - Should have a strong background in model training and optimization, particular...

I need a web-based interface for an AI-driven astigmatism diagnostic system. The platform should facilitate interactive diagnostic tests and allow for manual image uploads from a device with analyses on request. Key Features: - Interactive diagnostic tests: The platform should provide engaging and easy-to-follow tests that can assess the user's vision. - Manual image uploads: Users should be able to upload their iris images for analysis whenever they want. - Automated Report Generation: Generate and provide detailed diagnostic reports automatically after each test. - User Account Creation/Login: Allow users to create accounts and log in to track their diagnostic history over time. The ideal freelancer for this project should have extensive experience in AI programming, web developm...

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I have a deep learning YOLOv8 object detection model, trained on a custom dataset. I need a professional to convert it to ONNX format and help me run it with ONNX Runtime Mobile for a mobile application. The work must be based on a specific procedure outlined in a provided link.

I'm looking for an experienced AI developer to design and implement a machine learning model that will estimate the speed of various types of vehicles for our Advanced Driver Assistance Systems (ADAS). The model will primarily process video footage and should be capable of estimating the speed of passenger cars, commercial trucks, and motorcycles. Key Responsibilities: - Design and implement a deep learning model - Process video footage to estimate vehicle speed - Ensure model meets performance benchmarks - Optimize the model for deployment on edge devices such as in-car systems. Ideal Skills: - Proficient in computer vision and deep learning algorithms - Experience with real-time data processing - Familiar with using Transformers for deep learning This project offers a unique opp...

Hello i am looking for help with a computer vision project. It is mostly available on a github page. But i need some modifications and additions to meet my needs. Would like to talk about it further thank you. Application based on "Multiply" on gitHub. Will need application to be able to work with sequences with 1 actor, as well as many actors. Currently I think it only works with 2+ actors. Would prefer to just work with jpg sequences. Ffmpeg integration not needed. Pre processing stage will need exporting camera and smpl-x to fbx. and importing camera/smpl-x from fbx is a must have. rather than forced trace input》training. We can use example data from github for starters. I can also get data for single actor. Vitpose plus open pose for preprocessing needed for add...

Develop a C/C++ software using OpenCV to detect vehicles, human attributes, and traffic violations with day, low-light, and night vision capabilities. 1. Track and log any identified traffic violations by the vehicle. Detect vehicle and track its movement. Identify vehicle type (e.g., bike, car, lorry, truck). Recognize vehicle brand (e.g., Toyota, Honda). Detect vehicle color. Measure and record vehicle speed. Capture vehicle license plate text and image. Extract visible text on the vehicle (e.g., company names, slogans). 2. Human Detection in Vehicles Count the number of people in the vehicle. Detect helmet and seatbelt presence for driver and passengers. Capture and recognize driver and passenger faces. Record possible human features such as gender and race. 3. Tra...

I'm seeking a skilled machine learning engineer to design a Spiking-Convolutional Neural Network (SCNN) tailored for image classification from time-series datasets. create neural network using snntorch module of pytorch only. Key Specifications: - The architecture must incorporate two convolutional layers (sconv2d 1 and sconv2d 2) and two fully connected layers (sdense 1 and sdense 2). - The network should accept an input size of 50x118x1. - Both convolutional layers are to employ a kernel size of 5x5 with a stride size of 2. - The first convolutional layer needs to utilize 48 kernels, while the second one will use 24. - The output from the second convolutional layer (13x30x24) must be flattened and directed to sdense 1 (which should have 256 spiking neurons) and subsequently to sd...

This project aims to enhance the performance of the YOLO v8 object detection model by improving its accuracy by 5% through targeted architectural modifications while ensuring that the model's processing speed remains efficient. Objective: The primary goal of this project is to improve the accuracy of the YOLO v8 object detection model by 5% through architectural modifications while ensuring that the processing speed remains efficient. The project will also involve a comprehensive comparative analysis between the modified model and the base YOLO v8 model, with a detailed justification of the performance improvements. Key Tasks: 1. Architectural Improvements: - Analyze the existing YOLO v8 architecture to identify potential areas for optimization. - Implement modifications aimed...

I'm seeking an AI software prototype that can analyze basketball players' individual skills from video footage. The focus should be on evaluating specific techniques such as footwork, ball handling, and finishing. The ideal freelancer for this project should have: - Experience in AI and machine learning - A background in sports analytics, particularly basketball - Proficiency in software development The software should be able to assess: - Footwork technique - Ball handling technique - Finishing technique - Shooting form technique The ultimate goal is to understand and improve player performance through detailed analysis of their skills on the court. The reports should include detailed statistics on each evaluated technique. The software should be capable of processing MP4 vi...

I'm seeking expertise in remote sensing and deep learning for an analysis focused on urban land use and land cover. Key Responsibilities: - Utilize remote sensing data to identify and classify various urban land cover types - Implement deep learning techniques for image processing and pattern recognition - Deliver accurate, high-resolution land cover maps Ideal Skills and Experience: - Proficient in remote sensing and deep learning methodologies - Prior experience with urban land cover analysis is a plus - Excellent skills in image classification and object detection

We are seeking a skilled Python developer with a strong background in machine learning (ML) and deep learning (DL) for algorithm development. The project involves creating algorithms to process and analyze unstructured datasets containing text, numeric data, and images. Your role will be to design and implement algorithms that can effectively handle this data and perform comparisons between different models. Key Requirements: - Expertise in Python, ML, and DL, with a focus on applying these technologies to real-world problems. - Proven experience in algorithm development, particularly in handling unstructured datasets. - Ability to understand and derive insights from complex datasets. - Experience working with various deep learning models in addition to GAN, Transformer, and TCN. - Profic...

I'm seeking a skilled computer vision expert to mentor me on a project that aims to: 1. Develop a deep learning model to detect the facial key points using a given dataset of faces and test the model. Then use the results to report and analyze the achieved performance using appropriate metrics. Subsequently, I would like to find a methodology to use the detected key points to determine whether the emotion in a given image is a positive, neutral, or negative one. 2. After creating the model, I would like support in finding the correct strategy to deploy the model on a device (e.g. laptop, mobile device) as long as it has a camera from which I can access the video stream to display the model’s output key points on the video feed. 3. I would like the expert to understand how to...

I'm launching an open-source project on GitHub, primarily focused on software development using Python. I'm looking for skilled developers with a strong background in Python and open-source software development. Your role will involve contributing code, reviewing pull requests, and engaging with the wider open-source community. Experience with GitHub is crucial, along with a passion for collaborative software development. this link of project ...