Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

Notebook for 10 Animal Classification Deep Learning Pytorch Model

A project using a Support Vector Machine (SVM) to classify images of cats and dogs, implemented in a Jupyter Notebook. It includes data preprocessing, model training, and evaluation steps.

Notebooks for detection and classification model training. Insect classification model. Python scripts for processing of data, collected with the Insect Detect DIY camera trap.

Contains all the experiments conducted in St. Francis Institute of Technology for Sem - VI of EXTC branch

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

This notebook utilizes image processing techniques, K-means clustering for color extraction, and matches the extracted colors to the closest color names and HEX values based on a provided RGB shades dataset.

Analytics labs notebooks for Statistics and Business School students

Computer Vision Course Notebooks, 2022

Python Notebooks containing a varaity of Computer Vision models built with tensorflow

A deep-learning notebook to detect real or fake faces. Now comes with it's own PyPI module.

Notebooks pour le cours Deep Learning de zéro à la certification Tensorflow

Automated Tabular Data Extraction and Prediction is a Python project that combines image processing and machine learning for extracting and predicting tabular data from images with over 80% accuracy. Use this versatile solution by exploring the Jupyter Notebook, and seamlessly integrate it into your projects.

This repository hosts the files and notebooks for my Food Classification App. The application is built using Gradio and deployed on Hugging Face. Explore the code and documentation to understand the implementation and feel free to contribute or use it for your own projects.

The Plant-Image-Batch-ID is a Python-based Jupyter Notebook designed for automated plant identification from a directory of images that utilizes the PlantNet API.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow

Notebooks to fine-tune Yolov5 and Yolov8 and export model for JavaScript deployment

Jupyter notebook for creating a deep convolutional neural network (DCNN) image classifier model using Python and Tensorflow

The purpose of this project is to promote understanding -- my own and others' -- of fundamental data science and machine learning concepts and tools. It currently consists of one notebook that classifies fruit types based on weight, volume, and image data.