geckler3 Object Detection Dataset and Pre-Trained Model by Geckler

Images

144 images

Explore Dataset

Here are a few use cases for this project:

Medical Image Analysis: geckler3 could be used by healthcare professionals, researchers, and medical students to quickly and accurately identify White Blood Cells (WBC) and Erythrocyte-Hemoglobin Concentration (EHC) in clinical images, improving diagnosis and understanding of various blood-related conditions and diseases.
Blood Disorder Diagnosis Support: Implement geckler3 in diagnostic tools to assist doctors in identifying blood disorders, such as anemia or leukemia, by accurately analyzing WBC and EHC levels in blood images, helping with faster and precise diagnosis and treatment.
Biomedical Research: Utilize geckler3 in research laboratories for various biomedical and biotechnological studies to analyze large datasets of blood images, streamlining the process of data collection and analysis by automatically detecting WBC and EHC patterns.
Training and Educational Tool: Integrate geckler3 into educational platforms or applications to help medical and laboratory professionals, as well as medical students, learn and practice the identification of WBC and EHC in blood images, enhancing their skills and knowledge.
Remote Diagnosis Assistance: Employ geckler3 in telemedicine applications, allowing healthcare professionals to remotely access and analyze blood images for the presence of WBC and EHC, aiding in the diagnosis and management of blood-related conditions in areas with limited medical facilities.

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{
                            geckler3_dataset,
                            title = { geckler3 Dataset },
                            type = { Open Source Dataset },
                            author = { Geckler },
                            howpublished = { \url{ https://universe.roboflow.com/geckler/geckler3 } },
                            url = { https://universe.roboflow.com/geckler/geckler3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-06-20 },
                            }