Automated machine learning

The research focuses on applying deep learning to automate the fruit recognition and classification process, meeting the development needs of modern agriculture. Applying this technology helps improve efficiency and classification quality and reduces labor costs, resulting in lower product prices. The research team used two deep learning models, SSD300 and YOLOv10s, to recognize and classify six types of fruits: apples, bananas, kiwis, lemons, oranges, and strawberries.

9p vimaito 11-04-2025 1 1   Download

This paper presents the development of an Artificial Intelligence (AI) and Machine Learning (ML) model designed to detect cracks on concrete surfaces. The objective is to enhance the automation, precision, and performance of crack detection using the computer vision algorithm.

13p viengfa 28-10-2024 2 2   Download

Bài viết "Tăng tốc việc phân tích chuỗi thời gian với phương pháp máy học tự động hóa" giới thiệu các công cụ của phương pháp máy học tự động cung cấp các lợi thế quan trọng so với các công cụ phân tích truyền thống như tính đơn giản, nhanh & khả năng diễn giải kết quả thu được. Mời các bạn cùng tham khảo!

12p lieuyeuyeu18 23-12-2022 16 4   Download

This paper focuses on exploring Machine learning methods to automate this process. The main challenge we face is in generating adequate training datasets to train the Machine learning model. Creating training data by manually segmenting real images is very labour-intensive, so we have instead tested methods of automatically creating synthetic training datasets which have the same attributes of the original images. The generated synthetic images are used to train a U-net Model, which is then used to segment the original bread dough images.

75p runordie3 06-07-2022 6 2   Download