Obtaining meaningful results from the data set using the model trained with machine learning methods.
This repository contains my practice of Introduction to Computer Vision and Image Processing lab notebooks.
#AI Tensorflow, Machine Learning and Building a data model to recognize object detection with Keras back-end. This a research work. This library is designed for everyone to learn fast.
Detection and localization of Asian hornets with a CNN using PyTorch
Image classification for dogs and cats with VGG-16 using PyTorch. Model accuracy: 99.6%. Classification API included
implementation of using model.h5 on flask
Classificationbox Toolkit - a .Net wrapper for Machine Box's Classificationbox service and a CLI program using it to train a model and sort image folders
Two-stream cnn models for action recognition on the UCF-101 dataset
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
This project focuses on fine-tuning a pre-trained RoBERTa model (benjamin/roberta-base-wechsel-swahili) for Named Entity Recognition (NER) in Swahili using the MasakhaNER dataset. The goal is to identify and classify named entities such as PERSON, LOCATION, ORGANIZATION, DATE, etc., in Swahili text.
CineMint is a machine learning-powered tool that predicts the worldwide box office revenue of Telugu movies before release.
A simple PyTorch-based neural network that classifies student exam outcomes (Pass/Fail) using study hours and previous exam scores. Implements dataset splitting (train/val/test), mini-batch training, and evaluation with configurable hyperparameters.
this project includes the model to predict the number of requests for bike rental according to the dataset.
in this project, a model is presented to identify and recognize customers who will leave the cycle of existing customers.
YOLOv8 for Object Detection. This model is trained for the custom data set. YOLOv8 is an Open Source SOTA model built and maintained by the Ultralytics team. You guys can use this model for your custom dataset. I tried to provide the model just like plug and play.
Moving train on railway line with CSS3
Uilizing Tensorflow and openCV frameworks, we have created a Face Mask Detection Software Script.
Classify UCF101 videos using one frame at a time with a CNN(InceptionV3)
Social Emotion Analysis | SEA
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