Essays about: "Object Classification"

Showing result 1 - 5 of 178 essays containing the words Object Classification.

  1. 1. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Anna Phan; Rogelio Medina; [2022]
    Keywords : Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

    Abstract : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. READ MORE

  2. 2. Object Detection via Contextual Information

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Lovisa Stålebrink; [2022]
    Keywords : computer vision; machine learning; object detection; deep learning; contextual information; transformers; document object detection; datorseende; maskininlärning; objektdetektion; djupinlärning; kontextuell information; transformer; detektering av dokumentobjekt;

    Abstract : Using computer vision to automatically process and understand images is becoming increasingly popular. One frequently used technique in this area is object detection, where the goal is to both localize and classify objects in images. Today's detection models are accurate, but there is still room for improvement. READ MORE

  3. 3. Deep neural networks for food waste analysis and classification : Subtraction-based methods for the case of data scarcity

    University essay from Uppsala universitet/Signaler och system

    Author : David Brunell; [2022]
    Keywords : Siamese network; convolutional neural network;

    Abstract : Machine learning generally requires large amounts of data, however data is often limited. On the whole the amount of data needed grows with the complexity of the problem to be solved. Utilising transfer learning, data augmentation and problem reduction, acceptable performance can be achieved with limited data for a multitude of tasks. READ MORE

  4. 4. Importance sampling in deep learning : A broad investigation on importance sampling performance

    University essay from Uppsala universitet/Artificiell intelligens

    Author : Mathias Johansson; Emma Lindberg; [2022]
    Keywords : importance sampling; machine learning; deep learning; computer vision; object detection; image classification; neural networks; training of neural networks;

    Abstract : Available computing resources play a large part in enabling the training of modern deep neural networks to complete complex computer vision tasks. Improving the efficiency with which this computational power is utilized is highly important for enterprises to improve their networks rapidly. READ MORE

  5. 5. Object classification in the simulation environment using ultrasonic sensor arrays

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Haoyun Ou; [2022]
    Keywords : Master Thesis; Object Classification; Machine Learning; Ultrasonic; Sensor; Simulation;

    Abstract : With the wide application of machine learning technologies in advanced driver assistance systems of vehicles, object classification on obstacles has attracted much attention. Ultrasonic sensors are mainly used to measure the distance to obstacles under the condition of low-speed movement. READ MORE