3results about How to "Reduce manual labeling" patented technology

The application discloses a kind of for the method, device, equipment and medium of tab abnormality detection in battery cell production process, comprising: the tab area image collected in battery cell production process is segmented to generate tab mask;Based on the tab mask extraction multi-scale pixel-level feature vector, and the multi-scale pixel-level feature vector is input into unsupervised probability GMM model to identify pixel-level abnormal point;The pixel-level abnormal point is analyzed to obtain candidate abnormal area, and the parameter index of the candidate abnormal area is obtained;Determine whether the parameter index meets the set tab abnormality judgment rule, if meet, it is judged as tab abnormality, and tab abnormality result is output.Therefore, the application can be widely applied to the detection of tab folding, crease, fracture, misplacement and other abnormalities on battery cell production line.

The embodiment of the present invention discloses an image annotation method, device, equipment, program product and storage medium, including: obtaining an image to be processed, and obtaining annotation task information of the image to be processed according to the image to be processed and a predetermined multimodal large model; for each initial annotation information, performing image segmentation on the image to be processed based on the current initial annotation information and a pre-established image segmentation model to obtain a segmentation result; determining whether the segmentation result meets a preset condition, if the segmentation result does not meet the preset condition, optimizing the current initial annotation information according to the segmentation result, the image segmentation model and the multimodal large model to obtain target annotation information corresponding to the current initial annotation information; annotating the image to be processed according to the target annotation information corresponding to each initial annotation information. The method of the present invention realizes an efficient, accurate and automated image annotation process, reduces the cost of manual annotation, and improves the user experience.

The invention discloses a data screening method and device, a vehicle, a server and a storage medium. The data screening method comprises the steps that scene data, collected by a sensor, of a driving road where a vehicle is located are acquired; performing first screening processing on the scene data according to a preset screening strategy; performing second screening processing on the scene data after the first screening processing according to a scene prediction model, and determining target scene data which carries a scene category label; sending the target scene data to a server; and storing the updated scene prediction model sent by the server. According to the method, the data scene screening performance can be stably improved, the more extreme scene data are screened, the better the performance is, meanwhile, the time needed by the data screening process can be shortened, and therefore the screening cost is reduced while the data screening efficiency is improved.