Tflite Model

Hi there, I hope you're doing well. I came across your project and I'm very interested in working with you. I have over 3 years of experience in training and deploying machine learning models, specifically in the area of computer vision. Although I'm new to freelancing, I've successfully completed several similar projects in the past. Based on your requirements, I would suggest using the TensorFlow framework for training the instance segmentation models. We can start by using a pre-trained model as a base and fine-tune it on your custom dataset. For YOLOACT and Mask R-NN, we can utilize their respective architectures and train them on your dataset. I'm confident that I can deliver high-quality code that will meet your expectations. If you're interested, I can share my portfolio and we can discuss the details of the project further via inbox. Looking forward to hearing from you soon. Best regards,

Hi there, ★★★ Machine Learning (ML) / Python / C++ Expert ★★★ 7+ Years of Experience ★★★ I've read requirements and ready to write code to train an instance segmentation tflite model on a custom dataset for a specific image segmentation task. We are a team of professional members having skills on Machine Learning (ML), Deep Learning & Neural Networks with some computational approaches (such as fuzzy logic and wavelet analysis) and other theories (such as kernel methods and chaotic theory). We worked on image classification, face recognition, fingerprint recognition, object detection, and OCR projects. We can make programs using Python, R, Julia and MATLAB including packages TensorFlow, Scikit-Learn, Spark MLib, Weka, and OpenCV. As the requirements on project are not complete and need discussion so i placed tentative bid. To provide you the best quote, let's have a chat! Best Regards, TechPlus Team

Hello I am a professional python developer. My main specializations are automation, web scrapers and bots development. I have already developed over 200 scrapers. From the simplest (for example, a competitor's price collector) to complex parsers (with authorization, bypassing captcha, rotating ips and others) which can collect millions of products from amazon. I have done web scrapers for: - Amazon - Instagram - Facebook - Google - Twitter - LinkedIn - Pinterest - Walmart - And many others For scraping I use: - Python - Requests - BeautifulSoup - Selenium - Scrapy - Pyautogui - Undetected Chromedriver - Rotating ips I can bypass: - CloudFlare - IP blocking - Captcha - Authorization required - Other limitations Django / PostgreSQL For big scraping projects I usually use Django with PostgreSQL. This allows us to store information in a database for further processing and use. I also set up an administration area which allows us to check the data and set up scraper configs. If you need a professional solution in this area - I am ready to cooperate. I am ready to make a sample script before we start Regards, Oleg

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