yolov8 for rc2023_new 3 Object Detection Dataset and Pre-Trained Model by RotatedBB2023

Images

2657 images

Explore Dataset

Here are a few use cases for this project:

Automation in Manufacturing: The model can be used to recognize and classify different tools and components in a production line. Based on the types of objects identified, the system can automate the assembly process.
Quality Control: The model could be used in quality control systems to check whether the correct objects have been used in the manufacturing process or whether an object is missing.
Robotic Process Automation: In an environment where robots are used for tasks like assembling or repairing, the model can help the robot recognize and pick the correct tool or object for a given task.
Consignment Sorting and Management: This project could be very helpful in a warehouse or delivery system. By being able to recognize these objects, the system could easily sort and manage the consignments.
Training in Mechanical Fields: It can be used in mechanical education and training, to help students identify different tools and components related to mechanical studies.

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{
                            yolov8-for-rc2023_new-3_dataset,
                            title = { yolov8 for rc2023_new 3 Dataset },
                            type = { Open Source Dataset },
                            author = { RotatedBB2023 },
                            howpublished = { \url{ https://universe.roboflow.com/rotatedbb2023-14lnn/yolov8-for-rc2023_new-3 } },
                            url = { https://universe.roboflow.com/rotatedbb2023-14lnn/yolov8-for-rc2023_new-3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-05-02 },
                            }