Datasetpublic

Project-AgML/greenhouse_crop_weed_detection

Greenhouse Crop Weed Detection A dataset for detection of crops and weeds in a greenhouse. The dataset contains 200 images with 11,192 bounding box annotations across 14 categories. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{sunil2024novel, title={A novel automated cloud-based image datasets for high throughput phenotyping in weed classification}, author={Sunil, GC and Koparan, Cengiz and… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/greenhouse_crop_weed_detection.

sourceHugging Facecc-by-4.0updated 1mo agoView on Hugging Face

0likes77downloads

Dataset Card

Greenhouse Crop Weed Detection

A dataset for detection of crops and weeds in a greenhouse. The dataset contains 200 images with 11,192 bounding box annotations across 14 categories.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

bibtex

@article{sunil2024novel,
  title={A novel automated cloud-based image datasets for high throughput phenotyping in weed classification},
  author={Sunil, GC and Koparan, Cengiz and Upadhyay, Arjun and Ahmed, Mohammed Raju and Zhang, Yu and Howatt, Kirk and Sun, Xin},
  journal={Data in Brief},
  volume={57},
  pages={111097},
  year={2024},
  publisher={Elsevier}
}

G C, Sunil; Koparan, Cengiz; Upadhyay, Arjun; Ahmed, Mohammed Raju ; Zhang, Yu ; Howatt, Kirk; Sun, Xin (2024), “A Novel Automated Cloud-Based Image Datasets for High Throughput Phenotyping in Weed Identification.”, Mendeley Data, V3, doi: 10.17632/hs7d7kpd3z.3"

This dataset was reformatted from its original format to match HuggingFace standards.