A set of guides to get you doing great things with IDOL Media Server!

The collection of pre-trained, state-of-the-art AI models for ailia SDK

The goal of this project is to be able to regocnise the pieces on a chess board and their location using your phone camera.

A multi-purpose camera system focused on offline license plate and object recognition

A mobile app developed by Jaber Mobarak to assist blind individuals. The app uses image recognition and artificial intelligence to identify and describe objects in real-time. Through audio feedback, it helps visually impaired users understand their surroundings and gain independence.

👁 👂 Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

Machine-learning behaviour, Braitenberg vehicles implementation, object- and color-recognition and message-pooling on E-Puck robots.

Machine Learning and Deep Learning projects on various datasets.

Explore fine-tuning the Vision Transformer (ViT) model for object recognition in robotics using PyTorch. This tutorial covers setup, training, and evaluation processes, achieving impressive accuracy with practical resource constraints. Ideal for learners in AI and robotics.

Deep Learning project that uses yolov5 to detect and classify traffic signals in videos.

Fire Videos Dataset

464 Categories of Trademarks Dataset

Household Waste Dataset

HealthC, an application that utilizes OCR and object recognition to detect potential allergens.

Just prepare config file and start training your metric learning model with ease

A collection of some awesome public object detection and recognition datasets.

How to Deploy your Computer Vision Models on Raspberry Pi using Roboflow Inference

Official implementation of EXPLORE: A novel deep learning-based analysis method for exploration learning in object recognition tests