Essays about: "Faster R-CNN"
Showing result 11 - 15 of 44 essays containing the words Faster R-CNN.
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11. Image-Text context relation using Machine Learning : Research on performance of different datasets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Based on the progress in Computer Vision and Natural Language Processing fields, Vision-Language (VL) models are designed to process information from images and texts. The thesis focused on the performance of a model, Oscar, on different datasets. READ MORE
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12. CNN-Based Methods for Tree Species Detection in UAV Images
University essay from Linköpings universitet/DatorseendeAbstract : Unmanned aerial vehicles (UAVs) with high-resolution cameras are common in today’s society. Industries, such as the forestry industry, use drones to get a fast overview of tree populations. READ MORE
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13. Deep Learning for Multi-person Detection and Tracking in Mass Casualty Incidents
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : To evaluate and prioritize the injured during an incident of mass casualty, obtaining situational and positional awareness of the site is essential. There are situations where the first responders (nurses, firemen, police, etc.) cannot gain this perception by themselves. READ MORE
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14. Detecting Furniture in Images Based on Neural Network Models
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Object detection is a challenging task that locates objects within an image or video and thenallows us to count and then track those objects. It is applied in a variety of ways, such as crowd counting, self-driving vehicles, video surveillance, face identification, and anomaly detection, and is utilized in a wide range of industries, including retail, sport, healthcare, marketing, interior design, agriculture, construction, and recreation. READ MORE
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15. Detecting Defective Rail Joints on the Swiss Railways with Inception ResNet V2 : Simplifying Predictive Maintenance of Railway Infrastructure
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Manual investigation of railway infrastructure is a labor-intensive and time-consuming task, and automating it has become a high priority for railway operators to reduce unexpected infrastructure expenditure. In this thesis, we propose a new image classification approach for classifying defect and non-defective rail joints in image data, based on previous fault detection algorithms using object detection. READ MORE