Exdark Random Image_Annotation Object Detection Dataset and Pre-Trained Model by Project

Images

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Explore Dataset

Here are a few use cases for this project:

Home Interior Design: This model can be used in augmented reality apps to identify existing objects in a living room or any other space. It can help designers and homeowners visualise changes, suggest new design elements, or rearrange furniture for optimal design and comfort.
Smart Surveillance Systems: The model can be implemented in surveillance systems to distinguish between various objects or living beings, allowing for intelligent action based on the presence of specific classes (like a person, a motorbike, or a dog), thereby enhancing security and safety protocols.
Assisted Living Technology: For elderly or disabled individuals, the model can be integrated into their living space to identify different objects and provide vocal assistance, reminders or warnings, leading to an improved quality of life.
Retail Management Software: In shops and supermarkets, the model can identify and categorize various items like bottles, cups, chairs, etc., enhancing inventory management and facilitating improved layouts for better customer experience.
Training Autonomous Vehicles: The model can serve as a training tool for autonomous vehicles, allowing them to distinguish between various classes of objects they might encounter on roads like bikes, dogs, cars, buses, etc., contributing to safer navigation.

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{
                            exdark-random-image_annotation_dataset,
                            title = { Exdark Random Image_Annotation Dataset },
                            type = { Open Source Dataset },
                            author = { Project },
                            howpublished = { \url{ https://universe.roboflow.com/project-wjqxf/exdark-random-image_annotation } },
                            url = { https://universe.roboflow.com/project-wjqxf/exdark-random-image_annotation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-05-07 },
                            }