Annotating Computer Vision Projects
Choosing the right images for training, validating, and testing computer vision algorithms will significantly affect your AI project’s success. To train an AI model for object detection, segmentation, and classification with human-like performance, each image in the dataset must be labeled thoughtfully and accurately. This article examines dataset annotation and labeling techniques.
Computer Vision Evaluation Metrics
This article examines the different metrics used to evaluate machine vision models, and the metrics implemented on the AIEX platform.
How Object Detection Works
Object detection is focused on identifying objects of interest in digital photographs using a computer vision model. In this paper, we’ll explore this technology and explain the most common algorithms suitable for object detection.
Automated corrosion detection with Tensorflow object detection API
In this article, we go over what corrosion is and why it occurs, then we introduce Tensorflow object detection API and use it to detect corrosion in images.
