PWD_A Computer Vision Project

PWD

Updated 3 years ago

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Classes (13)
W1-Parthenium
W10-Jhonson Geass
W11-Cannabis
W12-Lipidium didymum
W13-Common Snowthistle
W2-Dandelion
W3-Clover
W4-Milk Thistle
W5-Sun Spurge
W6-Ptilostemon
W7-Mullein
W8-Crabgrass
W9-Dock
Description

This Plant Weed Dataset (PWD) is a subset of a wider collection of plant and weed species in the wild. This subset contains 994 mages, containing 1952 tagged regions. The dataset was annotated using VoTT. A mix of square and polygonal bounds were used. Subsequent subsetas of the Plant Weed Dataset will be named in the same manner as PWD_B, PWD_C, and so on. Each subset contains approx. 500 images.

Classes included so far:

  • W1-Parthenium
  • W2-Dandelion
  • W3-Clover
  • W4-Milk Thistle
  • W5-Sun Spurge
  • W6-Ptilostemon
  • W7-Mullein
  • W8-Crabgrass
  • W9-Dock
  • W10-Johnson Grass*
  • W11-Cannabis
  • W12-Lepidium didymum*
  • W13-Common Sowthistle* The W identifier servers to indicate that the species is a weed. Classes marked with * has misspelled name in the dataset. Recommended to remap/rename these classes when exporting. This dataset is suitable for:
  • Object Detection
  • Muulticlass Classification
Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            pwd_a-hr3ip_dataset,
                            title = { PWD_A Dataset },
                            type = { Open Source Dataset },
                            author = { PWD },
                            howpublished = { \url{ https://universe.roboflow.com/pwd/pwd_a-hr3ip } },
                            url = { https://universe.roboflow.com/pwd/pwd_a-hr3ip },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { mar },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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