CVOD🇲🇹 Labs

Correlation of Object Detection Performance with Visual Saliency and Depth Estimation

MRTMD is a comprehensive dataset for evaluating traffic monitoring models. It contains 3733 images with 70,506 annotated objects, mainly vehicles, across various resolutions (4K, 2K, 1080p, 720p, 640p, 360p). It enables performance assessment across different image qualities and includes labels for visible license plates.

A reinforcement learning object detector leveraging saliency ranking, offering a self-explainable system with a fully observable action log. | B.Sc. IT (Hons) Artificial Intelligence Dissertation | UOM Dean's List Awards 2024

SaRa (Saliency-Driven Object Ranking) is a saliency-driven ranking model that does not require any training and can efficiently rank the visual saliency of an image.

Principle concepts in computer vision covering image processing techniques, data augmentation, feature mapping, and detection and morphology techniques.

Advanced concepts in computer vision, covering topics such as image classification, object detection, and transfer learning techniques for enhanced model performance and accuracy.

A Multipurpose RGB-D Dataset for Inpainting and Saliency Applications.

This repository contains applications of various Image Classification and Object Detection models

An AI initiative project, the Maltese Christian Statue (MCS) Classifier preserves and celebrates Maltese religious culture by accurately classifying 13 distinct categories of Christian statues, fostering deeper understanding and appreciation for the Maltese Culture.

mask-to-annotation is a powerful and efficient tool for automatically generating annotations in popular computer vision formats such as COCO, YOLO, and VGG from saliency masks.