In robotic harvesting and yield prediction scenarios, real-time visual recognition of tomato fruit size often requires additional distance sensors or reference objects for measuring dimensions. This ...

Those who hold an Italian qualification for course admission should refer to the dedicated page. Coloro che sono in possesso di un titolo di studio italiano per l’accesso al corso devono fare ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

links and splits for target datasets; codes for our CD-ViTO method; codes for the DE-ViT-FT method; (in case you would like to build new methods based on this baseline). Also, as stated in the paper, ...

Despite advancements in technology such as applications like Shazam that can identify music within seconds, the trend mainly applies to well-known instruments. Cultural instruments are virtually ...

BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...

Debris flows are characterized by their suddenness, rapidity, large scale and destructive power, causing serious threat to the population in mountainous areas. Surveillance cameras are widely used in ...

Accurate and rapid diagnosis is crucial for the effective treatment of parasitosis. Traditional etiological methods, especially microscopic examination, are time-consuming, labor-intensive, and prone ...

The WCAY (weighted channel attention YOLO) model, which is meticulously crafted to identify fracture features across diverse X-ray image sites, is presented herein. This model integrates novel core ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...