Pig Skin Disease Single Label Computer Vision Project

Haru

Updated 2 months ago

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Classes (10)
Healthy
Infected_Bacterial_Erysipelas
Infected_Bacterial_Greasy_Pig_Disease
Infected_Environmental_Dermatitis
Infected_Environmental_Sunburn
Infected_Fungal_Pityriasis_Rosea
Infected_Fungal_Ringworm
Infected_Parasitic_Mange
Infected_Viral_Foot_and_Mouth_Disease
Infected_Viral_Swinepox
Description

PigDetect: AI-Powered Pig Skin Disease Detection & Monitoring PigDetect is an innovative platform designed to assist farmers in the early detection and management of pig skin diseases. By utilizing cutting-edge image processing and machine learning algorithms, the system allows farmers to capture images of their pigs and instantly receive a diagnosis. PigDetect helps farmers make informed decisions about the health of their livestock, reducing potential outbreaks and increasing farm productivity. ** Key Features:**

  • [ ] Real-Time

Skin Disease Detection: Upload or capture images of pigs, and PigDetect will analyze them for signs of common skin diseases such as mange, ringworm, and erysipelas.

  • [ ] Geolocation

  • [ ] Tracking:

PigDetect maps the location of reported cases, helping farmers track disease spread and take preventive measures.

  • [ ] Notifications:

The system sends real-time notifications to farmers when a skin disease outbreak is detected within a certain radius of their farm. Admin Controls: Farm administrators can manage blog posts, monitor disease data, and interact with PigDetect's community of users.

  • [ ] PigDetect

provides farmers with a powerful tool to improve the health and welfare of their pigs, ultimately boosting productivity and preventing potential losses.

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{
                            pig-skin-disease-single-label_dataset,
                            title = { Pig Skin Disease Single Label Dataset },
                            type = { Open Source Dataset },
                            author = { Haru },
                            howpublished = { \url{ https://universe.roboflow.com/haru-0icei/pig-skin-disease-single-label } },
                            url = { https://universe.roboflow.com/haru-0icei/pig-skin-disease-single-label },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-11-22 },
                            }
                        
                    

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