Detection 2.0 Object Detection Dataset and Pre-Trained Model by pranjals

Images

673 images

Explore Dataset

Here are a few use cases for this project:

Education Programs: The "Detection 2.0" model can be integrated into educational software to help students learn and understand different shapes in a fun, engaging way. This can be particularly useful in geometry classes.
Urban Planning: This model could be used in the development and planning of cities. By scanning aerial images, it can identify various shapes and provide insights into the layout and design, potentially identifying areas for improvement.
Satellite Imagery Analysis: The model can be used for analyzing satellite imagery for various purposes such as land cover classification, detecting human-made infrastructures, understanding the patterns of urbanization, or for environment monitoring like deforestation tracking.
Robotics and Automation: Robots can use this model to identify and interact with objects in their environment based on their shape. This could be used in assembly lines, pick-and-place operations or in sorting processes in manufacturing and logistics.
Military Operations: The military could use "Detection 2.0" to interpret aerial or satellite reconnaissance images, identifying various structures or layout patterns based on their shapes. This could be helpful for planning strategic operations.

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{
                            detection-2.0_dataset,
                            title = { Detection 2.0 Dataset },
                            type = { Open Source Dataset },
                            author = { pranjals },
                            howpublished = { \url{ https://universe.roboflow.com/pranjals/detection-2.0 } },
                            url = { https://universe.roboflow.com/pranjals/detection-2.0 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-07-27 },
                            }