Essays about: "small object detection"

Showing result 16 - 20 of 75 essays containing the words small object detection.

1. 16. Comparing the effect of random and contextual removal of images on object detection performance

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Patrik Pettersson; José Gabriel Gomez Palomäki; [2023]
   Keywords : Object detection; context; spatial context; outlier removal; MSCOCO;

   Abstract : As datasets grow, the need for automated methods to ensure dataset quality arises. This report presents an experiment conducted on the MSCOCO train2017 dataset to identify image outliers using a force-directed graph built from a co-occurrence context, focusing on the mean average precision and average precision. READ MORE

3. 17. Failure Inference in Drilling Bits: : Leveraging YOLO Detection for Dominant Failure Analysis

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Gnana Spandana Akumalla; [2023]
   Keywords : Computer vision; Image processing; Drill bit failure detection; CNN; YOLOv5; FNN; YOLOv8; Dataset; StyleGAN-ADA; Ethics; Sustainability; Artificial Intellegence; Tricone drill bit; Object detection.;

   Abstract : Detecting failures in tricone drill bits is crucial in the mining industry due to their potential consequences, including operational losses, safety hazards, and delays in drilling operations. Timely identification of failures allows for proactive maintenance and necessary measures to ensure smooth drilling processes and minimize associated risks. READ MORE

4. 18. Instance Segmentation on depth images using Swin Transformer for improved accuracy on indoor images

   University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Author : Alfred Hagberg; Mustaf Abdullahi Musse; [2022]
   Keywords : Instance Segmentation; segmentation; deep learning; semantic segmentation; swin transformer; mask rcnn; rcnn; cascade mask rcnn; slam; simultaneous localization and mapping; object detection; COCO; NYU dataset; vision transformer;

   Abstract : The Simultaneous Localisation And Mapping (SLAM) problem is an open fundamental problem in autonomous mobile robotics. One of the latest most researched techniques used to enhance the SLAM methods is instance segmentation. READ MORE

5. 19. Automatic Calibration of Camera Parameters : A Steppingstone to Analysing Videos

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Wilma Hallén; [2022]
   Keywords : Smartphone; Video stabilisation; Calibration;

   Abstract : The smartphone is commonly used for image and video capture. Due to the lightweight of the smartphone, small handshakes are noticeable in recorded videos. The image sensors in smartphones are typically CMOS, which introduces rolling shutter artefacts. Stabilisation is introduced to minimise the effects of the camera movement and artefacts. READ MORE

6. 20. Using active learning for semi-automatically labeling a dataset of fisheye distorted images for object detection

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

   Author : Olof Bourghardt; [2022]
   Keywords : Machine learning; Object detection; Computer vision; Semi-automatic data labeling; Fisheye images;

   Abstract : Self-driving vehicles has become a hot topic in today's industry during the past years and companies all around the globe are attempting to solve the complex task of developing vehicles that can safely navigate roads and traffic without the assistance of a driver.  As deep learning and computer vision becomes more streamlined and with the possibility of using fisheye cameras as a cheap alternative to external sensors some companies have begun researching the possibility for assisted driving on vehicles such as electrical scooters to prevent injuries and accidents by detecting dangerous situations as well as promoting a sustainable infrastructure. READ MORE