Labelled Weed Detection Images for Hot Peppers

This data contains the corresponding labelled images of Capsicum Annuum that are included in the "Unlabelled Weed Detection Images for Hot Peppers" data set on this site. This data set contains the labels 0,1 and 2 which can be displayed by assigning a unique pixel value (Eg. Recommended: 0,60,255) to each occurrence of the label. These images can be utilised as ground truth labels for machine learning and data exploration. These labels represent three categories, namely, weed, crop and background. The labels were assigned by a team of trained individuals from Trinidad and Tobago using the Image Labeller App in the Computer Vision library from Matlab.

Data e Risorse

Campo Valore
encoding utf8
harvest_url https://edclxvs58.cr.usgs.gov/dataset/3bd23712-48c0-4925-b339-165204f917da
Gruppi
  • AmeriGEOSS
  • National Provider
  • South America
Tag
  • agriculture
  • amerigeo
  • amerigeoss
  • caribbean
  • ckan
  • geo
  • geoss
  • national
  • pixel-labels
  • precision-farming
  • resilience
  • south-america
  • trinidad-and-tobago
  • weed-detection
author Jade Chattergoon
author_email jadec.projects@gmail.com
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer Jade Chattergoon
maintainer_email jadec.projects@gmail.com
metadata_created 2025-11-24T19:25:25.047493
metadata_modified 2025-11-24T19:25:25.047498
notes This data contains the corresponding labelled images of Capsicum Annuum that are included in the "Unlabelled Weed Detection Images for Hot Peppers" data set on this site. This data set contains the labels 0,1 and 2 which can be displayed by assigning a unique pixel value (Eg. Recommended: 0,60,255) to each occurrence of the label. These images can be utilised as ground truth labels for machine learning and data exploration. These labels represent three categories, namely, weed, crop and background. The labels were assigned by a team of trained individuals from Trinidad and Tobago using the Image Labeller App in the Computer Vision library from Matlab.
num_resources 1
num_tags 14
title Labelled Weed Detection Images for Hot Peppers
url https://drive.google.com/drive/folders/1vt3CJ99u4MJGx45mocVjFjtxvxowjPyB?usp=sharing
version 1.0