LD110kV-QTPC-GiaiDoan2 Computer Vision Project

QTPCPC

Updated 2 years ago

53

views

0

downloads
Classes (17)
cbtong_ct
cdien_polyme_ct_ban
cdien_polyme_ct_rach
cdien_ttinh_ct_ban
cdien_ttinh_ct_vo
csat_ct
csv_ct
dcleo_ct
dcset_ct
ddan_ct
ddan_ct_tua
ddan_ct_vatla
kdo_ct
kneo_ct
leo_ct
mnoi_ct
tcrung_ct
Description

Here are a few use cases for this project:

  1. Power Line Inspection and Maintenance: Authority agencies or companies responsible for the maintenance of power lines can use the model to identify various components and conditions of power lines for regular checkups or spotting potential issues.

  2. Training Material for Field Technicians: Utility companies can use the identified classes in the model to create a visual guide or training material for their field technicians for better recognition of different power line components.

  3. Augmentation for GIS System: This model can be integrated into Geographical Information System (GIS) software to provide additional insights and automation in mapping and identifying physical components within the power grid infrastructure.

  4. Disaster Response and Planning: The model can be used for identifying damaged power line components after natural disasters, aiding in strategic planning and prioritizing repair tasks.

  5. Urban Planning and Development: Urban development teams can use this model to identify and map power infrastructure, aiding in the decision-making process regarding infrastructure development and expansion.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            ld110kv-qtpc-giaidoan2_dataset,
                            title = { LD110kV-QTPC-GiaiDoan2 Dataset },
                            type = { Open Source Dataset },
                            author = { QTPCPC },
                            howpublished = { \url{ https://universe.roboflow.com/qtpcpc/ld110kv-qtpc-giaidoan2 } },
                            url = { https://universe.roboflow.com/qtpcpc/ld110kv-qtpc-giaidoan2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-12-23 },
                            }
                        
                    

Similar Projects

See More
1.5k images
df wx
1.4k images