Roboflow Universe Roboflow 100 weed crop aerial

weed crop aerial Computer Vision Project

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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

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

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This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite This Project

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

@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 2024-04-20 },
                            }