5 results about "Food classification" patented technology

The invention discloses a food classification deep learning method adaptive to a few-sample scene, and the method comprises the steps: obtaining a few-sample food classification data set, carrying out the preprocessing enhancement of an original image in the few-sample food classification data set, obtaining an image x, constructing an RL-Clip model, carrying out the feature processing of the image x, and finally obtaining a food classification probability matrix. Secondly, optimizing an image processing process; the purposes of improving the generalization of the detection model and improving the detection effectiveness, accuracy and confidence of the specific data set are achieved.

The objective is to provide a diversity assessment device, a diversity assessment method, and a diversity assessment program that can assess food diversity while considering nutrient diversity by evaluating the diversity of ingested foods based on clusters that classify foods. [Solution] Based on food component data, a food classification is set by classifying the target specified foods according to nutrients using a clustering method, data on the intake status of specified foods included in a meal classified according to the food classification is obtained, and a dietary diversity score is calculated for the specified food intake status data.

The utility model relates to the technical field of storage tanks, and discloses a food-grade multifunctional storage tank which comprises a storage tank body, a clamping groove is formed in the inner wall of the storage tank body, a flow dividing assembly is installed in the storage tank body, a sealing cover assembly is connected to the top of the storage tank body in a clamped mode, and the flow dividing assembly comprises a baffle. A sliding block is fixedly connected to the surface of the baffle, a flow dividing barrel is slidably connected to the surface of the sliding block, a sliding groove is formed in the surface of the flow dividing barrel, a lifting handle is fixedly connected to the end, away from the sliding groove, of the flow dividing barrel, a threaded sleeve is fixedly connected to the top of the baffle, and a bolt is in threaded connection with the interior of the threaded sleeve. According to the food storage container, by arranging a matching structure of the flow dividing cylinder, the sliding block and the sliding groove, rapid extraction and resetting of the flow dividing cylinder are achieved, in combination with the detachable design of the sealing plate, it is guaranteed that different kinds of food are stored in a classified mode, independent taking and using are convenient, and the problem that food is mixed or tainted by other odors in a traditional storage container is solved.

This application relates to the field of smart home appliance technology, and discloses a method and apparatus for cross-domain small-sample object image classification for smart terminals. The method includes: acquiring an image of food to be identified; processing the image to extract basic feature vectors; mapping the basic feature vectors using a dual Riemannian manifold processing module to obtain Euclidean space features and hyperbolic space features respectively; fusing the Euclidean space features and hyperbolic space features to obtain a comprehensive feature representation for food classification; and determining the food classification result based on the comprehensive feature representation. The dual Riemannian manifold processing module includes Euclidean space branches and hyperbolic space branches. This method achieves multi-space feature fusion by collaboratively extracting Euclidean space features and hyperbolic space features using dual Riemannian manifolds, thereby improving the feature representation capability and classification accuracy of food images.