The study’s findings are highly relevant to rice-producing regions worldwide, where pests like stem borers, planthoppers, and ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications.

Deep learning techniques like Convolutional Neural Networks (CNNs) have proven to be especially powerful in tasks such as image classification, object detection, and semantic segmentation.

Data analysis revealed a highly balanced distribution across species categories, and bounding box annotations showed minimal ...

Meta has announced the release of an artificial intelligence model that is capable of identifying specific objects ... image. Alongside the model, Meta has also published a dataset of image ...

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes ...

AI that uses sketches to detect objects within an image could boost tumor detection, and search for rare bird species. ScienceDaily . Retrieved May 30, 2025 from www.sciencedaily.com / releases ...

This innovative approach significantly enhances object detection accuracy while reducing reliance on real-world images. Pointing out that gathering such real-world data can be expensive ...