yolov7-seg Instance Segmentation Dataset and Pre-Trained Model by ImageSegmentation

Images

1282 images

Explore Dataset

Here are a few use cases for this project:

Dermatology Health Applications: This computer vision model could be used to build dermatology tools or applications. Professionals could use it to detect, identify, and track skin conditions or diseases (like melanoma or eczema) based on changes in the pattern or texture of hair distribution on human skin over time.
Hair Growth Research: The model could be beneficial in the research field associated with hair growth and hair health. It could support analysis on various factors like age, health, products, influencing hair growth and development.
Beauty and Cosmetic Industry: This model could find application in the beauty and cosmetics industry, where it can be used in the creation of personalized hair care products. It could analyze customer's hair characteristics and patterns to recommend specific product formulas.
Forensics: In the crime investigation process, the model could be useful to analyze hair patterns or characteristics in evidence for identification purposes.
Animal Studies: This model could also be beneficial in animal studies, where it can help differentiate animal species simply by analyzing fur patterns or fur health.

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{
                            yolov7-seg-erdec_dataset,
                            title = { yolov7-seg Dataset },
                            type = { Open Source Dataset },
                            author = { ImageSegmentation },
                            howpublished = { \url{ https://universe.roboflow.com/imagesegmentation/yolov7-seg-erdec } },
                            url = { https://universe.roboflow.com/imagesegmentation/yolov7-seg-erdec },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-11 },
                            }