Sökning: "image cropping"
Visar resultat 1 - 5 av 22 uppsatser innehållade orden image cropping.
1. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. LÄS MER
2. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER
3. Machine learning for automatic grading of knee osteoarthritis from X-ray radiographs
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3Sammanfattning : Knee osteoarthritis is a growing problem due to increasing risk factors such as age and obesity. It is a common task for a radiologist to grade osteoarthritis in three compartments (medial tibiofemoral (MTF), lateral tibiofemoral (LTF) and patellofemoral (PF)) in a knee from different image views of X-ray images, to decide if osteoarthritis is the cause of pain for the patient. LÄS MER
4. Image Augmentation in Generation of Real-Life Disturbances : An Evaluation of Image Augmentation Techniques for Log-end Identification
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Image augmentation is a field that covers the subject area of altering existing data to create more for the use of model training processes. It may be seen as the practice of expanding upon existing data using a range of techniques that employ transformations to improve the diversity of training sets when applied to machine learning. LÄS MER
5. Probing for plumes in observations of Europa in transit over Jupiter : A data analysis using Hubble Space Telescope images
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In 2016 Sparks et al. [14] reported evidence of water plumes above the Galilean moon Europa. Their method consisted of creating a model image of Europa transiting Jupiter and analytically comparing it with an actual far-ultraviolet observation from the Hubble Space Telescope. In 2020 Giono et al. LÄS MER