Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
-
Updated
Sep 3, 2024 - HTML
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Easy-to-use finetuned YOLOv8 models.
In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.
This repository presents a couple of approaches to the problem of multi-view image classification. I faced this challenge during a hackathon in which I participated, and decided to share my code here. I've also written a Medium article to provide further details and explanations. Feel free to check it out !
Face recognition based attendance system
A curated dataset of malware and benign Windows executable samples for malware researchers
Traffic sign classification for the German Traffic Sign Dataset
Rank images using TrueSkill by comparing them against each other in the browser. 🖼📊
The project aims early detection of 'Autism' and 'ADHD' through a web platform fueled by machine learning.
Site where you can draw digits and they are recognized
AI Assisted Image and Video Training Data Labeling @ Scale
Image Classification Web app built using Hasura
Image Classifier website with Deep Learning using Flask
classify plant seedling into weed seedling and crop seedling using CNN
A collection of datasets and neural networks for microorganism image classification
☘️ Deploys a trained PyTorch image classification model with Flask to a FloydHub model API
A Django based web project that uses custom YOLO model, trained on google open images, to detect and count number of fruits(Apple, Mango, Orange, Pomegranate, tomato) in an image.
Software to classify biological phenotypes from single-cell image-based morphology profiles
Pytorch Baby-Vibes Happy/Crying Image Classifier built using fastai, Python-flask, javascript, html, css, bootstrap and deployed on Raspberry Pi 4
Final Project of the Udacity AI Programming with Python Nanodegree
Add a description, image, and links to the image-classification topic page so that developers can more easily learn about it.
To associate your repository with the image-classification topic, visit your repo's landing page and select "manage topics."