TSSM Detection v2 Object Detection Dataset and Pre-Trained Model by Gent Lab

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Explore Dataset

Here are a few use cases for this project:

Agricultural Pest Management: This CV model could be used in agricultural technology to classify the stages and types of Two-Spotted Spider Mites (TSSM) and other insects on crops, aiding farmers in informed pest control.
Biological Research: TSSM Detection v2 could be utilized in biodiversity research projects to automatically classify mite samples and better understand these species' life cycles, behaviors, and impact on ecological systems.
Smart Greenhouse Management: This model can be incorporated into intelligent greenhouse systems to monitor and detect mite infestations early, enabling precise intervention to ensure plant health and high-quality production.
Pest Control Industries: Commercial pest control companies can utilize this model to identify the severity and type of mite infestation in clients' homes or businesses, guiding appropriate treatment strategies.
Educational Usage: The model can be used in educational settings, such as biology classes, to teach about mites and their life stages, allowing students to gain hands-on experience with artificial intelligence and computer vision technologies.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new 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{
                            tssm-detection-v2_dataset,
                            title = { TSSM Detection v2 Dataset },
                            type = { Open Source Dataset },
                            author = { Gent Lab },
                            howpublished = { \url{ https://universe.roboflow.com/gent-lab/tssm-detection-v2 } },
                            url = { https://universe.roboflow.com/gent-lab/tssm-detection-v2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-04-29 },
                            }