Dot Detection Object Detection Dataset and Pre-Trained Model by Sambit Mukherjee

Images

600 images

Explore Dataset

Here are a few use cases for this project:

Quality Control for Manufacturing: This model can be used in manufacturing processes to detect the presence or absence of required dots in the assembly line. This could be particularly useful in industries like electronics, where certain components may be represented as dots.
Disease Diagnosis: The "Dot Detection" model could be used in medical imaging to detect and classify anomalies like spots or tumors in scan images. This automated detection could aid in early diagnosis and treatment.
Traffic Management: The system could be used to recognize and count dots on the road caused by vehicles or people, helping to analyze traffic flow and congestion.
Astronomy: The model could be used in astronomy to identify and classify celestial bodies, such as stars and distant galaxies represented as dots in images taken from telescopes.
Document Analysis: In document and image analysis, this model could help recognize and count dots or specific data point indicators on graphs, charts, or maps.

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{
                            dot-detection-r0t5x_dataset,
                            title = { Dot Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Sambit Mukherjee },
                            howpublished = { \url{ https://universe.roboflow.com/sambit-mukherjee-qllho/dot-detection-r0t5x } },
                            url = { https://universe.roboflow.com/sambit-mukherjee-qllho/dot-detection-r0t5x },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-29 },
                            }