Patent search cpc:"G06V10/451" Page 1

1.

发明公开
AUTOMATED PLANT DETECTION USING IMAGE DATA 审中-公开

公开(公告)号：EP4424157A2

公开(公告)日：2024-09-04

申请号：EP24185446.2

申请日：2018-05-09

Applicant: Blue River Technology Inc.

Inventor： REDDEN, Lee Kamp , PADWICK, Christopher Grant , RADHAKRISHNAN, Rajesh , OSTROWSKI, James Patrick

IPC: A01M7/00 , G06T7/00 , G06T7/73 , G06V10/20 , G06V10/44 , G06V10/764 , G06V20/20

CPC classification number: A01M7/0089 , G06T2207/1002420130101 , G06T2207/2013220130101 , G06T7/75 , G06T7/0002 , G06T2207/2008120130101 , G06T2207/2008420130101 , G06V20/20 , G06V10/255 , G06V10/451 , G06V10/764

Abstract: A plant treatment platform uses a plant detection model to detect plants as the plant treatment platform travels through a field. The plant treatment platform receives image data from a camera that captures images of plants (e.g., crops or weeds) growing in the field. The plant treatment platform applies pre-processing functions to the image data to prepare the image data for processing by the plant detection model. For example, the plant treatment platform may reformat the image data, adjust the resolution or aspect ratio, or crop the image data. The plant treatment platform applies the plant detection model to the pre-processed image data to generate bounding boxes for the plants. The plant treatment platform then can apply treatment to the plants based on the output of the machine-learned model.

2.

发明公开
IMAGE CLASSIFICATION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM 审中-实审

公开(公告)号：EP4394726A1

公开(公告)日：2024-07-03

申请号：EP22909548.4

申请日：2022-11-04

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： ZHAO, Yu , LIN, Zhenyu , YAO, Jianhua

IPC: G06V10/764 , G06V10/26 , G06V10/44 , G06V10/80 , G06V10/82 , G06F18/40 , G06N3/04

CPC classification number: G06V10/82 , G06N3/04 , G06N3/08 , G06V10/451

Abstract: Embodiments of the present application relate to the technical field of computers, and disclosed are an image classification method and apparatus, a computer device, and a storage medium. The method comprises: obtaining image features of a pathological image to be classified; for each scale in a plurality of scales, extracting local features corresponding to the scale from the image features; performing splicing processing according to the local features corresponding to each scale to obtain a spliced image feature; and classifying the spliced image feature to obtain a category to which the pathological image belongs. According to the method provided by the embodiments of the present application, local features corresponding to different scales contain different information, so that the finally obtained spliced image feature contains feature information corresponding to different scales, and the feature information of the spliced image feature is enriched; and the category to which the pathological image belongs is determined on the basis of the spliced image feature, so that the accuracy of the category is ensured.