last-12 Object Detection Dataset and Pre-Trained Model by southern federal university

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892 images

Explore Dataset

Here are a few use cases for this project:

Quality Control in Liquid Manufacturing: The "last-12" computer vision model can assist in identifying and classifying droplets in various liquid manufacturing processes, such as pharmaceuticals, chemicals, and beverages, enabling better quality control and ensuring the desired properties of the final product.
Medical Diagnostics: The model can be used in the analysis of microscopic images or samples containing droplets, such as blood or other bodily fluids, assisting in the detection and classification of abnormalities, pathogens, or other indications of health issues.
Rainfall Analysis and Meteorology: The "last-12" model can contribute to the study of raindrops and their formation by identifying and classifying droplet types in high-resolution images. This could help meteorologists understand precipitation patterns and lead to improved weather forecasting.
Inkjet Printer Quality and Maintenance: The model may be used to analyze the droplet formation and distribution of inkjet printers, identifying potential problems or areas for improvement, and ensuring even ink distribution and optimal print quality.
Emulsion Stability Analysis: By identifying and classifying droplets in images of emulsions or other mixed fluids, the "last-12" computer vision model can help researchers and industry professionals evaluate the stability of various formulations, leading to the development of better products in fields such as cosmetics, food, and chemicals.

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{
                            last-12_dataset,
                            title = { last-12 Dataset },
                            type = { Open Source Dataset },
                            author = { southern federal university },
                            howpublished = { \url{ https://universe.roboflow.com/southern-federal-university/last-12 } },
                            url = { https://universe.roboflow.com/southern-federal-university/last-12 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-05-11 },
                            }