Model to classify images of my cats.

Faster R-CNN with Tensorflow Object Detection API for Custom Dataset.

this tool is for image batch process for matchine learning | 此工具用于机器学习的图片批量处理

Project about developing a model that can detect multiple cards and identify their suit and rank. Includes multiple models, own created dataset, utility functions, presentations, research paper and live demo application. Course Deep Learning, FMI, 2024.

Contribution for Traffic Sign Detection and Warning System in real time with Custom Dataset & YOLOv8.

🤖 🦆 An example to create a custom dataset for Detectron2 library.

Do you want to train a custom convolution neural network with minimal steps and 0 coding efforts. Here is how you can train custom image classification model with minimal steps. Clone this repository and enjoy the model training sipping hot coffee.

Generative AI custom data fine tuning with google cloud vertax ai

Applications of Machine Learning Algorithms.

Created to explain how to use DataLoader effectively in PyTorch.

This repository contains a project for detecting flags in images using the YOLOv7 object detection model. Designed for applications in events, sports, and public gatherings, this project enables accurate flag localization through advanced deep learning.

How to Train YOLOv5 on Custom Objects

Time-series models for learning wavefront propagation with 3x3 metasurface dataset

Detecting everyday objects using the YOLO v3 network with a custom dataset.

Training YOLO5 on a custom data

This repo contains a training setup for creating a model that can detect faces and label them as wearing\not wearing masks.

Collection of deep generative model implementations and experiments.

Proof of concept for using TensorFlow.js to disambiguate acronyms.