What are the key considerations for deploying image classification models in safety-critical applications?

Aug 20, 2023 ... I have couple hundred images that were classified by different operators into three different groups (bad, good, and not sure). I would like to know what type ... Crop and scale photos using the Vision framework and classify them with a Core ML model. GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems. Authors: Yanmao Man and Ming Li, University of Arizona; Ryan Gerdes ... An image classification model can label an image with known objects and provide a confidence score. With the Coral Edge TPU™, you can run an image ... Segmentation is another type of labeling where each pixel in an image is labeled with given concepts, providing pixel-by-pixel details for a given object. Image ... Sep 1, 2022 ... To classify flower images, the Flower Classification ... If you want to deploy a Gradio app for Image classification or Sketch recognition, check ... Nov 12, 2024 ... Image recognition with traditional machine learning. Machine learning uses algorithms that classify images based on features manually extracted ... Image recognition is the process of identifying an object or a feature in an image or video. It is used in many applications like defect detection, medical ... Apr 4, 2025 ... Hybrid text image classifier. HTIC models—which mix an optimal CNN and VGG16 for image data with ROBERTA and MySQL for text data—achieve ... Contextual image classification ... Contextual image classification, a topic of pattern recognition in computer vision, is an approach of classification based on ...