deep learning - Labellerr

deep learning

A collection of 13 posts

Top Image Recognition Tools 2024 - AI & ML Powered Solutions

Image Recognition

6 Best Image Recognition Tools in 2025

Explore the top six image recognition tools and software that leverage AI and machine learning to identify objects, people, and patterns in images. This blog highlights key features and use cases, from cloud-based platforms to open-source solutions for businesses and developers.

ML Guide to Train Food Recognition and Classification Model

ML Guide to Train Food Recognition and Classification Model

Build a precise food recognition model with deep learning. Use CNNs, transfer learning, and large datasets for dietary tracking and food safety.

Automated License Plate Recognition (ALPR) Model Guide

Automated License Plate Recognition

Automated License Plate Recognition (ALPR) Model: A Complete Guide

Explore the fundamentals of ALPR, from license plate detection and character recognition to real-world applications in toll collection and traffic monitoring. Learn how to build an ALPR system using Python, OpenCV, and TensorFlow.

Food Recommendation Models Using Deep Learning

Food Recommendation Models Using Deep Learning

Introduction In the age of information overload, finding the perfect recipe can sometimes feel like searching for a needle in a haystack. With countless cooking websites, blogs, and cookbooks available, it can be overwhelming to go through all the options to find a recipe that suits your taste preferences and

ML Beginner's Guide on Solar Panel Inspection

Solar Panel Inspection

ML Beginner's Guide on Solar Panel Inspection Using Deep Learning

Table of Contents 1. Objective 2. Hands-on Tutorial 3. Conclusion 4. Frequently Asked Questions Objective The accumulation of dust, snow, bird droppings, and other elements on solar panels diminishes their efficiency which leads to a decrease in energy output. Monitoring and cleaning these panels are vital tasks. It underscores the

Detecting Skin Cancer Using Convolutional Neural Networks

Skin Cancer Detection Model Using CNN: A Comprehensive Guide

Table of Contents 1. Introduction 2. About Dataset 3. Use Cases of Skin Cancer Detection Model 4. Hands-on Tutorial 5. Conclusion 6. Frequently Asked Questions Introduction Skin cancer is a widespread and potentially life-threatening condition affecting millions worldwide. Timely detection significantly increases survival rates, and in this digital age, Convolutional

PCOS Detection Using CNN

A Detailed Guide On Building PCOS Detection Model For ML Experts

Table of Contents 1. Introduction 2. Prerequisites 3. Dataset Understanding 4. Hands-On Tutorial 5. Use Cases in the Medical and Healthcare Industry 6. Conclusion 7. Frequently Asked Questions Introduction Polycystic Ovary Syndrome (PCOS) is a common hormonal disorder affecting women, characterized by various symptoms such as irregular periods, excessive hair

Retail Store Planogram Compliance Model Building Tutorial

Retail Store Planogram Compliance Model Building Tutorial

Table of Contents 1. Introduction 2. About Dataset 3. Hands-on Tutorial 4. Conclusion 5. Frequently Asked Questions Introduction Advanced solutions have been made possible by the combination of deep learning and computer vision in today's quickly changing retail environment. One particularly noteworthy transformational use among them is the

Breast Cancer Detection with CNN: Analyzing Mammography Images

Breast Cancer Detection Model: Tutorial to Analyze Mammography Images

Introduction Breast cancer remains a significant health concern globally, but advancements in medical imaging technology and machine learning offer promising avenues for early detection and diagnosis. Mammography, a standard imaging technique, coupled with deep learning models, presents a powerful tool for identifying breast abnormalities, thereby aiding medical professionals in timely

Farm Insect Detection using Vision Transformers

A Comprehensive Guide To Build Farm Insect Detection Model

Table of Contents 1. Introduction 2. Data Collection and Preprocessing 3. Model Configuration and Training 4. Analysis and Visualization 5. Inference and Deployment 6. Conclusion 7. Future Considerations 8. Frequently Asked Questions Introduction Deep learning and other cutting-edge technologies are now helping the agriculture industry, which is essential for the

Efficient Tuning LLMS: Optimize Performance with Fewer Parameters

Efficient Tuning LLMS: Optimize Performance with Fewer Parameters

Table of Contents 1. Introduction 2. Parameter-Efficient Fine-Tuning Methods 3. Adapter Tuning 4. Prefix Tuning 5. Prompt Tuning 6. Low-Rank Adaptation (LoRA) 7. Conclusion Introduction Tuning plays a crucial role in the development and effectiveness of Language Models (LLMs). LLMs are pre-trained on vast amounts of text data to acquire

How does the YOLO algorithm help in object detection?

Leveraging YOLO Object Detection for Accurate and Efficient Visual Recognition

It’s become increasingly evident that the YOLO algorithm has revolutionized the way we think about algorithms, and is quickly becoming an essential tool for machine learning applications. By streamlining object detection through efficient deep neural networks, YOLO has shown us how powerful one can be when effectively leveraging both

ChatGPT: What is it? Why it's special?

Unleashing the Power of ChatGPT: Revolutionizing Conversational AI

This technology is the current talk of the town. Not just AI Industry but almost every industry is talking about this new technology named as ChatGpt (a product by OpenAI). This technology is soon going to bring a different revolution in the industry. You may not have to go to