con trung 277 Object Detection Dataset and Pre-Trained Model by labelimages

Images

3289 images

Explore Dataset

Here are a few use cases for this project:

Insect Research: Since "con trung" translates to "insect" in Vietnamese, it can be used in entomology studies to categorize and study different insect species with images. This model could facilitate identifying insects and distinguishing them from other objects such as jars (ban), metal objects (kimloai), or hair strands (toc).
Environmental Monitoring: This computer vision model can be used in biodiversity tracking where the presence of various insect species (contrung) in a particular environment is determine, as well as differentiating them from the background or other objects.
Quality Control in Manufacturing: The model could be used in factories to detect unwanted insect presence (contrung) on assembly lines or products, while differentiating from materials used in the process such as metals (kimloai), eliminating false negatives caused by non-living objects.
Forensics Entomology: Used by forensic investigators to quickly detect and identify insects from a scene, which can help in crime scene investigation.
Educational Tool: This can help students learning about insects to identify them visually, differentiating from other common objects encountered, and can be a very useful tool for biology students and teachers.

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{
                            con-trung-277_dataset,
                            title = { con trung 277 Dataset },
                            type = { Open Source Dataset },
                            author = { labelimages },
                            howpublished = { \url{ https://universe.roboflow.com/labelimages/con-trung-277 } },
                            url = { https://universe.roboflow.com/labelimages/con-trung-277 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-05-14 },
                            }