This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

This repo contains all the notebooks mentioned in blog.

Object detection and localization with Tensorflow 2 and Keras

A ready-to-use notebook!

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Just another YOLO V2 implementation. Train your own dataset in a jupyter notebook!

InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.

Projects & Notebooks of Coursera's Self-Driving Cars Specialization.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

⛑️⚒️ Custom object detection for PPE Detection of Construction Site Workers. This repo contains notebook for PPE Detection using YoloV8.

Projeto final de conclusão da disciplina de Visão Computacional voltado a auditoria de vídeo e construção de classificadores baseado em transfer learning.

This notebook implements an object detection based on a pre-trained model - YOLOv3. The model architecture is called a “DarkNet” and was originally loosely based on the VGG-16 model.

Ultralytics Notebooks 🚀

The deep_utils' notebooks are stored in this repository

Google Colab Notebook for creating and testing a Tiny Yolo 3 real-time object detection model.

Notebooks to upload/download marine footage, connect to a citizen science project, train machine learning models and publish marine biological observations.

FULL Implementation of RCNN from scratch

DeepLearning

This repository contains Jupyter Notebooks for training the YOLO11 model on custom datasets for image classification, instance segmentation, object detection, and pose estimation tasks.

Object Detection