Train yolo model using darknet for more images

Can you share your hardware details so that I can confirm weather GPU can be used with model or not? I mainly work with Deep Learning Models. And I would like to help you to train the YOLO model that you have build on more dataset. Just message me to discuss the details and get it finished in real time. We can share screen if you want. Best Regards Trinnovation Inc.

Hey there, I can help you out on training yolo using gpu. Inbox me now so that we can discuss about it.

Hello, I just have obtained my master's degree, and finished three Machine Learning and Artificial Intelligence projects. I used Tensorflow, Keras and OpenCV with CNN, SVM, Qlearning all in Python. I even taught Artificial Intelligence, Machine Learning and Image Processing to others. I can do your project and would be glad to work with you. Best Regards, Ahmed

hello sir , I am a machine learning engineer having 5+ years of experience . I have done many projects on image classification either in agriculture sector or in medical sectors. I have used many framework for object detection like pytorch,mxnet , tensor flow ,keras , caffe . some of my projects are identification of different types of notes object detection using YOLO or RCNN custom object detection brain hemorrhage subtypes detection pneumethrox detection covid-19 detection Stock market prediction using deep learning and many more A deep. And I am pretty sure that you will get best results ever.

Hi, I am an expert of YOLO. I have many experiences of darknet, yolov3, yolov4, yolov3-tiny and so on. Let's discuss about the detail. Thanks.

I am a data scientist proficient in machine learning, data analysis, and neural networks. My expertise in Python has come from my experience in Natural Language Processing, computer vision, etc. I am good at the following: - Deep learning for natural language processing and computer vision including use of RNN, CNN, etc. - Machine Learning algorithms using python.

Hi, I think I can train the model on more images easily. Also we can use some prebuilt libraries to use the GPU for faster computation.

Since you have scripts ready. My first task will be to understand your script, trial runs and finding out errors and fixing them. Next step would be to use your trained waits to retrain it for more images, that's what your actual goal is. And then I will look at the distributed training framework using GPUs. I hope this will solve all your issues.