DF1 610 - 518 Computer Vision Project
Updated a year ago
11
1
Here are a few use cases for this project:
-
Medical Imaging Analysis: The model can be used to identify and categorize different pathologies in medical imaging scenarios, such as CT scans, MRI scans, or X-rays. This could be particularly useful in radiology or pathology departments of hospitals, clinics, or research facilities.
-
Quality Control in Manufacturing: The model could be leveraged in a factory or manufacturing setting where it can identify defects or abnormalities on surfaces such as grey surfaces with a black stripe, which could be a sign of a particular pathology or problem.
-
Scientific Research: Researchers in the field of materials science or physics could use this model to identify and categorize different types of anomalies or pathologies on surfaces and create classifications, helping them to understand the nature of these anomalies more deeply.
-
Crime Scene Analysis: Law enforcement agencies could potentially utilize this model to identify and categorize different residues or marks at a crime scene. The grey surface with a black stripe provides an example of a surface that might be found at a crime scene.
-
Environmental Studies: This model could identify particular pathologies or effects in environmental studies, like disease infestations in forestry or crop patterns in agricultural research. This can be particularly useful to monitor disease spread and develop proactive measures.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
df1-610-518_dataset,
title = { DF1 610 - 518 Dataset },
type = { Open Source Dataset },
author = { VIABAHIA REV 324 DF1 pt1 },
howpublished = { \url{ https://universe.roboflow.com/viabahia-rev-324-df1-pt1/df1-610-518 } },
url = { https://universe.roboflow.com/viabahia-rev-324-df1-pt1/df1-610-518 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-21 },
}