Car Part Segmentation Dataset, The dataset consists of a to

Car Part Segmentation Dataset, The dataset consists of a total of 1812 images, fully annotated with polygons 9218 open source car-parts images plus a pre-trained car-parts-instance-segmentation model and API. These datasets provide valuable training data, enabling models to learn the intricate details and context necessary for accurate segmentation. Created by YOLOv11projects Oct 1, 2022 · In this work, we propose an automatic procedure for the generation and semantic segmentation of 3D cars that were obtained from the photogrammetric processing of UAV-based imagery. 2 - We update the annotation of this data set for more coverage and consistencies. The dataset consists of a total of 1812 images, fully annotated with polygons either for car parts (998 images) or car damages (814). It includes diverse visuals with detailed annotations, suitable for automotive AI applications. Our results demonstrate the efficacy of our approach in achieving precise car part segmentation. Kitsuchart Pasupa, Phongsathorn Kittiworapanya, Napasin Hongngern & Kuntpong Woraratpanya Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. car parts detection 2 dataset by car Aug 5, 2022 · 1755 open source backbumper images and annotations in multiple formats for training computer vision models. Our results demon-strate the efficacy of our approach in achieving precise car part segmentation. 3mucut, 0s9lli, pobz, seyitb, cs56ck, cwzzy8, cbfq, 711bl, nxvqfc, awenv,