Essays about: "Mask R-CNN"

Showing result 11 - 15 of 29 essays containing the words Mask R-CNN.

  1. 11. 3D Instance Segmentation of Cluttered Scenes : A Comparative Study of 3D Data Representations

    University essay from Linköpings universitet/Datorseende

    Author : Albin Konradsson; Gustav Bohman; [2021]
    Keywords : Deep Learning; Computer Vision; Point Cloud; Depth Map; 3D; Instance Segmentation; Cluttered Scenes;

    Abstract : This thesis provides a comparison between instance segmentation methods using point clouds and depth images. Specifically, their performance on cluttered scenes of irregular objects in an industrial environment is investigated. Recent work by Wang et al. READ MORE

  3. 12. Application of Deep-learning Method to Surface Anomaly Detection

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Jiahui Le; [2021]
    Keywords : Image processing; Deep learning; Mask R-CNN; Surface anomaly detection; Surface defect detection;

    Abstract : In traditional industrial manufacturing, due to the limitations of science and technology, manual inspection methods are still used to detect product surface defects. This method is slow and inefficient due to manual limitations and backward technology. READ MORE

  4. 13. Improving Automatic Image Annotation Using Metadata

    University essay from Linköpings universitet/Datorseende

    Author : Gustav Wahlquist; [2021]
    Keywords : Computer vision; deep learning; instance segmentation;

    Abstract : Detecting and outlining products in images is beneficial for many use cases in e-commerce, such as automatically identifying and locating products within images and proposing matches for the detections. This study investigated how the utilisation of metadata associated with images of products could help boost the performance of an existing approach with the ultimate goal of reducing manual labour needed to annotate images. READ MORE

  5. 14. Using Mask R-CNN for Instance Segmentation of Eyeglass Lenses

    University essay from KTH/Matematisk statistik

    Author : Marcus Norrman; Saad Shihab; [2021]
    Keywords : Machine Learning; Computer Vision; Instance Segmentation; Mask R-CNN; CNN; Convolutional Neural Networks; Transfer Learning; Maskininlärning; Datorseende; Instanssegmentering; Mask R-CNN; CNN; Konvolutionella neurala nätverk; Överföringsinlärning;

    Abstract : This thesis investigates the performance of Mask R-CNN when utilizing transfer learning on a small dataset. The aim was to instance segment eyeglass lenses as accurately as possible from self-portrait images. Five different models were trained, where the key difference was the types of eyeglasses the models were trained on. READ MORE

  6. 15. Weed Detection in UAV Images of Cereal Crops with Instance Segmentation

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Arina Gromova; [2021]
    Keywords : computer vision; deep learning; CNN; mask R-CNN; weed detection;

    Abstract : Modern weeding is predominantly carried out by spraying whole fields with toxic pesticides, a process that accomplishes the main goal of eliminating weeds, but at a cost of the local environment. Weed management systems based on AI solutions enable more targeted actions, such as site-specific spraying, which is essential in reducing the need for chemicals. READ MORE