Singapore Polytechnic

Yolo Attempt

Object Detection

Yolo Attempt Computer Vision Project

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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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            yolo-attempt_dataset,
                            title = { Yolo Attempt Dataset },
                            type = { Open Source Dataset },
                            author = { Singapore Polytechnic },
                            howpublished = { \url{ https://universe.roboflow.com/singapore-polytechnic-vflhk/yolo-attempt } },
                            url = { https://universe.roboflow.com/singapore-polytechnic-vflhk/yolo-attempt },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-06-20 },
                            }
                        

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Last Updated

5 months ago

Project Type

Object Detection

Subject

Aircraft-Parts

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Downloads: 5

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License

CC BY 4.0

Classes

Door Engine (Provides Power to the Aircraft) Forward Landing Gear (Supports the Aircraft) Fuselage (Provides Space for Cargo and personnel) Horizontal Stabiliser (Maintain the aircraft in longitudinal balance) Rear Landing Gear (Supports the Aircraft) Vertical Stabiliser provides yaw stability Window Wing (Provides Lift for the Aircraft)