five

Weed seedling images of species common to Manitoba, Canada

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.gtht76hhz
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains 34666 RGB-images taken from different angles and distances of weeds common in Manitoba. The imaged species common name, scientific name, and number of their images are: Echinochloa crus-galli Large Barnyard Grass 8621 Cirsium arvense Canada Thistle 4706 Brassica napus Volunteer Canola 6723 Taraxacum officinale Dandelion 4797 Persicaria spp. Smartweed 870 Fallopia convolvulus Wild Buckwheat 4165 Avena fatua Wild Oat 1218 Setaria pumila Yellow Foxtail 3566 Furthermore, this dataset contains a trained ResNet50 convolutional neural network model. It is trained to distinguish between monocots and dicots. A small collection of test datasets is included that can be used to measure the generalization capabilities of trained models. The single-plant dataset and all test-datasets are accompanied by a csv-file containing filenames with respective labels. Methods The data was collected by the EAGL-I system, an autonomous robotic platform that takes images and labels them. The plants are being placed in a volume that can be traversed by a camera on a robotic arm. Using the knowledge of the plant's position, the camera's position, and the label of the plant, the position of the plant in the image (in terms of pixels) can be calculated and thus a labeled bounding box created. This bounding box is cropped out to generate the single-plant images. The above dataset is the "minimal" dataset used to train the ML model included. The original uncropped images and additional metadata on the images (such as camera-position and -orientation) are being planned to be made accessible. For details, please contact the creators listed above and/or follow updates on this dataset.
创建时间:
2021-06-18
二维码
社区交流群
二维码
科研交流群
商业服务