Essays about: "Object of learning"

Showing result 6 - 10 of 462 essays containing the words Object of learning.

  1. 6. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : TARUN NATTALA; [2023]
    Keywords : CRNN; CNN; RNN; Machine Learning and Satellite Image Recognition.;

    Abstract : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. READ MORE

  3. 7. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Egemen Yiğit Kömürcü; [2023]
    Keywords : ;

    Abstract : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. READ MORE

  4. 8. Real time Optical  Character Recognition  in  steel  bars  using YOLOV5

    University essay from Blekinge Tekniska Högskola

    Author : Monica Gattupalli; [2023]
    Keywords : Deep learning; Object detection; Tesseract OCR; YOLOV5; YOLOV5- obb;

    Abstract : Background.Identifying the quality of the products in the manufacturing industry is a challenging task. Manufacturers use needles to print unique numbers on the products to differentiate between good and bad quality products. However, identi- fying these needle printed characters can be difficult. READ MORE

  5. 9. Instance segmentation using 2.5D data

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Jonathan Öhrling; [2023]
    Keywords : instance segmentation; multi-modality; segmentation; multi-modality fusion; CNN; RGBD; ToF; Mask R-CNN; RTMDet; MMDetection; COCO; NYUDepth;

    Abstract : Multi-modality fusion is an area of research that has shown promising results in the domain of 2D and 3D object detection. However, multi-modality fusion methods have largely not been utilized in the domain of instance segmentation. READ MORE

  6. 10. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Lars Bergström; Dag Hjelm; [2023]
    Keywords : ;

    Abstract : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. READ MORE