LDTrungAp-QTPC-GD2 Computer Vision Project

QTPCPC

Updated 2 years ago

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Classes (43)
Khóa néo dây trần
Khóa néo ép dây bọc
cbtong_ct
cbtong_tt
cdien_gom_ban
cdien_gom_tt
cdien_gom_tt_ban
cdien_gom_tt_nut
cdien_gom_tt_vo
cdien_gom_vo
cdien_polyme_tt_ban
cdien_polyme_tt_rach
cdien_ttinh_ct_ban
cdien_ttinh_tt
cdien_ttinh_tt_ban
cdien_ttinh_tt_nut
cdien_ttinh_tt_vo
csat_tt
csv_dz_tt
csv_tt
dbcsu_tt
dcl_tt
ddan_boc_tt
ddan_ct_vatla
ddan_tran_tt
ddan_tt__tua
ddan_tt_mon
ddan_tt_tua
ddan_tt_vatla
fco_tt
kdo_ct
kdo_tt
kdre_tt
kepcap_tt
kneo_tt
krang_tt
ktrang_tt
lbs_tt
mnoi_tt
rec_tt
tcrung_ct
vday_tt
xa_tt
Description

Here are a few use cases for this project:

  1. Power Grid Inspection and Maintenance: Use LDTrungAp-QTPC-GD2 to analyze images of power lines, poles, and related equipment to identify signs of wear, damage, or potential failure. This would enable timely maintenance and repair, preventing power outages and ensuring the safety of utility workers.

  2. Disaster Response and Recovery: Implement LDTrungAp-QTPC-GD2 to assess damage to critical infrastructure, such as power lines and poles, after natural disasters (e.g., hurricanes, earthquakes, or floods). By rapidly identifying affected areas, the model could help prioritize and allocate resources for restoration and recovery efforts.

  3. Urban Planning and Infrastructure Development: Utilize LDTrungAp-QTPC-GD2 to create detailed maps and datasets of existing power infrastructure in urban and rural areas. Planners and engineers could use this information to optimize energy distribution, plan expansions, or identify areas for renewable energy integration.

  4. Vegetation Management for Power Line Corridors: Apply LDTrungAp-QTPC-GD2 to monitor vegetation growth near power lines and poles, ensuring trees and plants do not endanger the power infrastructure. This would help maintain the reliability of the power grid, prevent outages, and reduce the risk of wildfires.

  5. Training and Safety for Utility Workers: Employ LDTrungAp-QTPC-GD2 as a training tool for utility workers, demonstrating how different components and equipment should appear when in good condition, and how to identify potential issues. This knowledge could improve worker safety and efficiency during maintenance and repair tasks.

Supervision

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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{
                            ldtrungap-qtpc-gd2-asmxv_dataset,
                            title = { LDTrungAp-QTPC-GD2 Dataset },
                            type = { Open Source Dataset },
                            author = { QTPCPC },
                            howpublished = { \url{ https://universe.roboflow.com/qtpcpc/ldtrungap-qtpc-gd2-asmxv } },
                            url = { https://universe.roboflow.com/qtpcpc/ldtrungap-qtpc-gd2-asmxv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-11-25 },
                            }
                        
                    

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