New-Chula Object Detection Dataset and Pre-Trained Model by Vaccshift

Images

701 images

Explore Dataset

Here are a few use cases for this project:

Medical Diagnosis and Research: The "New-Chula" model could be used in medical laboratories and hospitals to automatically identify and classify different cell types in blood samples. This could assist in diagnosing various blood disorders or diseases such as anemia or leukemia, thereby speeding up analysis and treatment processes.
Education and Training: The model could serve as an educational tool for medical students or professionals in training. By using this model, they could learn to identify various types of cells more quickly and accurately, enhancing their understanding of hematology.
Pharmaceutical Trials: During drug testing and development, pharmaceutical companies may use this model to analyze the impact of drugs on different cell types in order to assess effectiveness or side effects.
Public Health Monitoring: Governments and public health organizations could use it to monitor the health condition of the general population, potentially detecting the early stages of an outbreak or epidemic.
Biotechnology Industry: Biotech firms or research labs may use this model for particular research projects involving genetic modification or cellular biology studies where identification and classification of different cell types is necessary.

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{
                            new-chula-ufidq_dataset,
                            title = { New-Chula Dataset },
                            type = { Open Source Dataset },
                            author = { Vaccshift },
                            howpublished = { \url{ https://universe.roboflow.com/vaccshift/new-chula-ufidq } },
                            url = { https://universe.roboflow.com/vaccshift/new-chula-ufidq },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-04-29 },
                            }