1.2k images

weed crop aerial Computer Vision Project

Roboflow 100

Updated 2 years ago

3.3k

views

192

downloads

Metrics

mAP is equal to the average of the Average Precision metric across all classes in a model. Learn more

mAP

79.8%

Precision measures how often your model's predictions are correct. Learn more

Precision

77.3%

Recall measures what percentage of relevant labels were successfully identified. Learn more

Recall

78.4%

Try This Model

Drop an image or

browse your device

Description

This dataset was originally created by Riccardo Secoli (Sourced from: Kaspars Sudars, Janis Jasko, Ivars Namatevs, Liva Ozola, Niks Badaukis). To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/new-workspace-csmgu/weedcrop-waifl.

This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.

Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Try In Browser Deploy Model

Cite This Project

LICENSE

CC BY 4.0

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

                        
        highlighted
        
            
        
     
@misc{
                            weed-crop-aerial_dataset,
                            title = { weed crop aerial Dataset },
                            type = { Open Source Dataset },
                            author = { Roboflow 100 },
                            howpublished = { \url{ https://universe.roboflow.com/roboflow-100/weed-crop-aerial } },
                            url = { https://universe.roboflow.com/roboflow-100/weed-crop-aerial },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2025-03-31 },
                            }