RGBD_fruit_detection_faster-rcnn.pytorch
收藏DataCite Commons2025-06-10 更新2025-06-14 收录
下载链接：
https://dataverse.csuc.cat/citation?persistentId=doi:10.34810/data2331
下载链接
链接失效反馈官方服务：
资源简介：
This project is a pytorch implementation of a Faster R-CNN for fruit detection suitable with multi-modal images (up to 5 channels). It's based on implementation of: jwyang/faster_rcnn.pytorch, developed based on Pytorch + Numpy
This implementation has been used to train and test the KFuji RGB-DS dataset, which contains images with 3 different modalities: colour (RGB), depth(D), and range-corrected intensity signal (S).
提供机构：
CORA.Repositori de Dades de Recerca
创建时间：
2025-06-04
