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.

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

This repository contains tasks focusing on prompt engineering for vision models. Each task explores different aspects of image segmentation, object detection, and image generation using advanced machine learning models. Below are detailed descriptions of the tasks and their respective notebooks.

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

Repository for Raspberry Pi-based object detection with TinyML models like TensorFlow Lite, PyTorch Nano, including data gathering, mAP evaluation, and image data preparation in Jupyter notebooks.

Object Detection

A short jupyter notebook to train a Faster R-CNN object detection model with PyTorch v2 using the COCO data format

This repository includes the Colab notebooks used for the AutoML benchmarking study (object detection), and some of the FiftyOne scripts used to generate the datasets.

Creating an easy-to-use deep learning notebook with the YOLOv5 object detection algorithm and YouTube Bounding Box dataset

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

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

This repository houses a Sign Language Detection Software crafted with Tensorflow, Object Detection, LabelImg, Python, and Jupyter notebooks. Designed to empower communication for the hearing-impaired, the software employs real-time object detection for sign language gesture recognition.

Working Notebook for Training and Testing Detectron2 for instance-segmentation

Safety gears detection of 10 different classes of construction site workers. This repo contains the custom object detection notebook, models, dataset, results using YoloV8

FULL Implementation of RCNN from scratch

In this project, we will use Google Colab for model training and run the Tensorflow1.15 own object detection model. Colab is a free Jupyter Notebook environment hosted by Google that runs on the cloud. Google Colab provides free access to GPUs (Graphical Processing Units) and TPUs (Tensor Processing Units).

IPython widgets from Brambox

This is my final project for my bachelor degree in biomedical engineering. I implemented Faster R-CNN algorithm using TensorFlow Object Detection API 2. The code written in Python and developed in Google Colaboratory, fully in one Jupyter Notebook for convenient reason.

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

This repository contains IPython Notebooks for Computer Vision tasks using OpenMMLab - MMDetection, MMSegemntation etc.