Results 21 to 30 of about 14,919,864 (281)
Fruit identification using improved Faster R-CNN model
Shipin yu jixie, 2023 Objective: To improve the identification accuracy of fruit categories. Methods: An identification method for fruit categories was established based on an improved Faster regional convolutional neural network （Faster R-CNN） model.
JIAN Yanping, SANG Yanli, LI Yueru
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Balinese Script Handwriting Recognition Using Faster R-CNN
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 In Balinese culture, the ability to read Balinese script is one of the challenges young generations face. Advances in machine learning have proposed handwriting detection systems using both traditional and deep learning models.
Alif Adwitiya Pratama +2 more
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Vision based intelligent traffic light management system using Faster R‐CNN
CAAI Transactions on Intelligence TechnologyTransportation systems primarily depend on vehicular flow on roads. Developed countries have shifted towards automated signal control, which manages and updates signal synchronisation automatically.
Syed Konain Abbas +6 more
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Object Sorting using Faster R-CNN
International Journal of Artificial Intelligence & Applications, 2020 In a factory production line, different industry parts need to be quickly differentiated and sorted for further process. Parts can be of different colors and shapes. It is tedious for humans to differentiate and sort these objects in appropriate categories. Automating this process would save more time and cost.
Pengchang Chen, Vinayak Elangovan
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Faster R-CNN Features for Instance Search [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016 Image representations derived from pre-trained Convolutional Neural Networks (CNNs) have become the new state of the art in computer vision tasks such as instance retrieval. This work explores the suitability for instance retrieval of image- and region-wise representations pooled from an object detection CNN such as Faster R-CNN.
Amaia Salvador +3 more
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Maize Tassel Detection From UAV Imagery Using Deep Learning
Frontiers in Robotics and AI, 2021 The timing of flowering plays a critical role in determining the productivity of agricultural crops. If the crops flower too early, the crop would mature before the end of the growing season, losing the opportunity to capture and use large amounts of ...
Aziza Alzadjali +7 more
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Identifying threat objects using faster region-based convolutional neural networks (faster R-CNN)
IJAIN (International Journal of Advances in Intelligent Informatics), 2022 Automated detection of threat objects in a security X-ray image is vital to prevent unwanted incidents in busy places like airports, train stations, and malls. The manual method of threat object detection is time-consuming and tedious.
Reagan Galvez, Elmer Pamisa Dadios
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, 2021 a) The Faster-RCNN method detects objects directly on images without using an intermediate semantic segmentation step [45], generating bounding boxes and confidence scores for each detected object.
Valentina Garcia (6080459) +5 more
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Faster R-CNN model learning on synthetic images
Journal of Computer Sciences Institute, 2020 Machine learning requires a human description of the data. The manual dataset description is very time consuming. In this article was examined how the model learns from artificially created images, with the least human participation in describing the ...
Błażej Łach, Edyta Łukasik
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