Dataset2 Object Detection Dataset and Pre-Trained Model by Forensics

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Explore Dataset

Here are a few use cases for this project:

Machine Shop Classification: This model can be used to improve efficiency and safety in machine shops. It can identify different types of cutters, allowing for their quick retrieval and ensuring the correct tool is used for the task at hand. This application would be especially useful in industrial settings.
Educational Tool for Engineering Students: Dataset2 could be used as a teaching aid, helping students learn to identify and correctly use different types of cutting tools.
Robotics and Automation: The model can be incorporated into robotic systems for automated tool usage. Robots would be able to select and use the correct cutter class on their own, enhancing production speed and quality.
Quality Control and Inventory Management: Companies can use the model to keep track of cutter classes they have in stock, monitor their condition, and determine when to reorder or replace tools, thus optimizing inventory management.
Health and Safety Compliance: The model can assist with safety inspections by identifying cutter classes and ensuring they are stored and used correctly, thereby reducing workplace accidents and maintaining regulatory compliance.

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{
                            dataset2-b58ab_dataset,
                            title = { Dataset2 Dataset },
                            type = { Open Source Dataset },
                            author = { Forensics },
                            howpublished = { \url{ https://universe.roboflow.com/forensics/dataset2-b58ab } },
                            url = { https://universe.roboflow.com/forensics/dataset2-b58ab },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-29 },
                            }