Build me a machine learning model for apple disease detection
Budget ₹1500-12500 INR
Job Description:
By using Yolov5 implement a code in google collab for the segmentation of the apple in a farm using a custom dataset, and after that using a classification method detect the healthy and unhealthy apple from the segmentation result.
The code will be of top performance giving map above 85.
The custom dataset is provided for the machine learning model and the code has to be written in python and will be in a way to be used for IoT device
16 freelances font une offre moyenne de 7325 ₹ pour ce travail
Greetings! How are you today? Thanks for posting this job. I have checked your project description. ✅I'm AI engineer also Developer with 6+ years experiment.✅ I am very familiar to Deep learning such as Tensorflow an Plus
Hello, I am glad to see your posting on Machine Learning After reading through your posting, I understood that you need an ML expert to implement machine learning algorthms . I would like to submit my interest in doin Plus
Hey! I've worked on a number of projects similar to this one. I have a lot of experience and knowledge in this field. My knowledge of business also gives me an advantage in this situation. Looking forward for the oppor Plus
Greetings, I have gone through your project description. I find myself as a perfect fit for this job. I am working as a Python Developer from last 2 year. Some of my expertise is in the fields: 1. Web Scraping/Web Au Plus
Hi, I have 6+ years experience in computer vision. I am familiar with Yolo5, I can implement the training and inference in pytorch. Can we have a quick chat to discuss more? Thanks, Vijaya
Hi I have worked on yolov5 object detection. Do you have an annotated custom dataset? I also have a question about this part: will be in a way to be used for IoT device Can we discuss? Thank you.
I can make model By using Yolov5 implement a code in google collab for the segmentation of the apple in a farm using a custom dataset, and after that using a classification method detect the healthy and unhealthy apple Plus
Hi!!! I am a highly experienced machine learning and deep learning engineer. I have a strong understanding of various image classification techniques and have worked on several projects using CNNs, R-CNNs, and other de Plus
I am an entry level programmer but I can assure you that I can do this project from the bottom of my heart.
I am a senior student at the German International University and i worked on a similar project traffic sign detection for auto driven cars
I have lots of experience making ML models for Edge Devices. My expertise lies in using TensorFlow Lite rather than YoloV5. I would love to do this job, but I prefer using TensorFlow Lite. If you are fine with TFLite, Plus
I am confident that I am the right fit for this particular project on Upwork. With my experience in project management and my strong attention to detail, I am confident that I can provide the necessary skills and exper Plus
Dear Customer, I am writing to express my interest in your project to build an apple disease detection machine learning model. I am a highly skilled and experienced freelancer with a strong background in machine learn Plus
Hello, here is how i will implement my program: Here is a general outline of how I implement apple segmentation and classification using YOLOv5 in Google Colab: 1) Set up Google Colab environment and install necessar Plus
I have experience in using YOLO, i had used it to create a social distancing violation detection model. I have done image classification projects previously and taught people too. I had also done a Covid detection from Plus