iSEEDS Object Detection Dataset and Pre-Trained Model by iSEEDS Workspace

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Explore Dataset

Here are a few use cases for this project:

Human-Computer Interaction (HCI): iSEEDS can facilitate more natural and intuitive human-computer interactions by recognizing the user's emotional state and eye gaze, allowing for adaptive responses from the system.
Mental health monitoring: The model can be integrated into mental health assessment applications, which can analyze facial expressions and eye movements in real-time to assess emotional well-being, stress levels, or identify signs of anxiety or depression.
Driver Monitoring System (DMS): Implement iSEEDS in vehicle safety technology to monitor drivers' emotional states and eye movements. This can identify driver distraction or fatigue, enhance driver engagement, and improve overall road safety.
Virtual Reality (VR) experiences: iSEEDS can be integrated into VR or AR systems for more immersive gaming, entertainment, and educational experiences. By capturing eye movement and emotion data, developers can create more dynamic and interactive virtual environments.
Customer experience analysis: Businesses can use iSEEDS to analyze customers' emotions and eye movements in retail settings or after exposure to marketing materials. The insights can help improve product offerings, store layouts, marketing strategies, and overall customer satisfaction.

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.

Cite This Project

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

@misc{
                            iseeds_dataset,
                            title = { iSEEDS Dataset },
                            type = { Open Source Dataset },
                            author = { iSEEDS Workspace },
                            howpublished = { \url{ https://universe.roboflow.com/iseeds-workspace/iseeds } },
                            url = { https://universe.roboflow.com/iseeds-workspace/iseeds },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-18 },
                            }