testData1 Object Detection Dataset and Pre-Trained Model by ECE4191

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Explore Dataset

Here are a few use cases for this project:

Use Case 1: Robotics Navigation

Implement in autonomous robots to navigate through complex environments, effectively identifying targets and avoiding obstacles, distractors, and walls.

Use Case 2: Search and Rescue Operations

Enhance search and rescue robotics to accurately identify targets (e.g., lost individuals) while avoiding distractors, obstacles, and walls, ultimately improving operational efficiency.

Use Case 3: Gaming and Simulation

Integrate into virtual reality, video game, or simulation platforms to design immersive environments with dynamic target, obstacle, and distractor elements that provide challenging experiences.

Use Case 4: Surveillance and Security Systems

Implement in security camera systems to identify unauthorized or intrusive targets in real-time while ignoring distractors, preventing false alarms, and effectively monitoring obstacles or walls.

Use Case 5: Disaster Recovery and Damage Assessment

Deploy in aerial or ground-based robots to assess damage caused by natural disasters, identifying affected areas (targets), safe pathways, and potential hazards (obstacles, walls) to help in expedited recovery planning.

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{
                            testdata1_dataset,
                            title = { testData1 Dataset },
                            type = { Open Source Dataset },
                            author = { ECE4191 },
                            howpublished = { \url{ https://universe.roboflow.com/ece4191/testdata1 } },
                            url = { https://universe.roboflow.com/ece4191/testdata1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-04-26 },
                            }