The real-world dataset RumexWeeds targets the detection of the grassland weeds: Rumex obtusifolius L. and Rumex crispus L.. RumexWeeds includes whole image sequences with totally 5,510 images of 2.3 MP resolution and 15,519 manual bounding box annotations as well as 340 ground truth pixels-wise annotations, collected at 3 different farms and 4 different days in summer and autumn 2021. Additionally, navigational robot sensor points from GNSS, IMU and odometry are recorded. For a detailed description, please consider the related publications as well as the datasets website: https://dtu-pas.github.io/RumexWeeds/ </p
There are many datasets available for training object detectors in non agricultural domains such as ...
The CoFly-WeedDB contains 201 RGB images (~436MB) from the attached camera of DJI Phantom Pro 4 from...
As the demand for food increases, we are presented with the challenge of producing food more efficie...
Funding Information: This study was supported by the SPECTORS project (143081), which is funded by t...
Data collected between the 10 and the 13 of May 2022, in Valsorda, Gualdo Tadino 06023 (PG), Italy, ...
The MegaWeeds dataset consists of seven existing datasets: - WeedCrop dataset; Sudars, K., Jasko, J...
Weeds are causing substantial losses for livestock farming and decrease land cultivability in farmin...
Automated robotic weeding of grassland will improve the productivity of dairy and sheep farms while ...
Broad-leaved dock (Rumex obtusifolius) is a fast growing and spreading weed and is one of the most c...
This dataset is provided and linked to the Paper : Instance segmentation for the fine detection of c...
Data collected between the 16th and the 19th of May 2022, in Platamona, 07037 (SS), Sardinia, Italy,...
Rumex obtusifolius is a common weed that is difficult to control in organic farming systems. Among t...
The dataset consists of orthophotos (build from UAV images) from a grassland field in which several ...
This in-house-built image dataset consists of 10810 weed images captured through a dedicated phenoty...
The dataset CottonWeedDet12 consists of 5648 RGB images of 12-class weeds that are common in cotton ...
There are many datasets available for training object detectors in non agricultural domains such as ...
The CoFly-WeedDB contains 201 RGB images (~436MB) from the attached camera of DJI Phantom Pro 4 from...
As the demand for food increases, we are presented with the challenge of producing food more efficie...
Funding Information: This study was supported by the SPECTORS project (143081), which is funded by t...
Data collected between the 10 and the 13 of May 2022, in Valsorda, Gualdo Tadino 06023 (PG), Italy, ...
The MegaWeeds dataset consists of seven existing datasets: - WeedCrop dataset; Sudars, K., Jasko, J...
Weeds are causing substantial losses for livestock farming and decrease land cultivability in farmin...
Automated robotic weeding of grassland will improve the productivity of dairy and sheep farms while ...
Broad-leaved dock (Rumex obtusifolius) is a fast growing and spreading weed and is one of the most c...
This dataset is provided and linked to the Paper : Instance segmentation for the fine detection of c...
Data collected between the 16th and the 19th of May 2022, in Platamona, 07037 (SS), Sardinia, Italy,...
Rumex obtusifolius is a common weed that is difficult to control in organic farming systems. Among t...
The dataset consists of orthophotos (build from UAV images) from a grassland field in which several ...
This in-house-built image dataset consists of 10810 weed images captured through a dedicated phenoty...
The dataset CottonWeedDet12 consists of 5648 RGB images of 12-class weeds that are common in cotton ...
There are many datasets available for training object detectors in non agricultural domains such as ...
The CoFly-WeedDB contains 201 RGB images (~436MB) from the attached camera of DJI Phantom Pro 4 from...
As the demand for food increases, we are presented with the challenge of producing food more efficie...