tenserflow-image-classifier

WIT Bot is an innovative AI bot that can classify images uploaded to it, other than human faces. As its name suggests, it stands for What is this Bot, and is designed to identify and label images with high accuracy. Created using the advanced concepts of Python, this bot utilizes a powerful neural model called ResNet50 from the Tensorflow library.

Facial_Emotion_Recognition_System

ASL TO TEXT CONVERTER

The aim is to categorise and accurately identify the types and subtypes of breast cancer

Clothes Detection Example AI web application, uses AI to detect and classify clothing in uploaded photos

Developed an advanced X-ray image enhancement framework for airport security inspection systems to improve the visibility and detection of dangerous goods concealed within passenger baggage. The project leverages image processing techniques and deep learning algorithms to enhance low-contrast X-ray images, suppress noise.

Emotion Recognition detects human emotions from various input sources such as speech, text, facial expressions, and physiological signals. This Project uses a combination of audio and video inputs to identify and classify human emotions in real time, leveraging deep learning and computer vision techniques.

🪟 A beginner-friendly project for image classification using Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) with the CIFAR-10 dataset. Perfect for introducing neural networks and computer vision concepts.

Python and Machine Learning also Cascading the data and using AI. Using the Keras Module and neural networks with accuracy up to 69%

Submission Belajar Machine Learning untuk Pemula - Dicoding

simple image classifier with tenserflow and mobile net

Its a very simple hand-writing recognition system that takes input via GUI, predicting output

Melanoma detector backend size. Using python image recognition.

Build the Convolutional Neural Networking (CNN) model on Fashion Mnist in-build TensorFlow dataset.