IBM has released a new free tool designed to help developers cut the chore of labeling images in video when training AI object-detection models. The new auto-labeling tool is part of IBM's push to ...
Developers building machine learning or object detection models have to manually label hundreds to thousands of images to train them. To make the task easier, IBM has introduced a new auto-labeling ...
The dominant framework inputs one or two groups of images manually annotated with pixel-level and category labels (i.e. Apple and Horse), and then uses these supervisory signals to train a model in a ...
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Lightweight framework enables faster, more accurate object detection for UAV remote sensing
Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Machine learning (ML) can be a powerful addition to your Android projects. It helps you create apps that intelligently identify text, faces, objects, famous landmarks, and much more, and use that ...
Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.
AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model ...
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