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YOLOv7 Computer Vision Project

jihan-latifah

Updated 3 months ago

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Tags
Object Detection
Classes (260)
1009 gm
1049 gm
1049 gm (s)
1078 gm
1139 gm
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1150 gm (s)
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1532
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1627 gm
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2093 gm
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271 gm (s)
282 gm
282 gm (S)
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386
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562 gm (s)
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719 gm
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737 gm
747 gm
747 gm (s)
749 gm
757 gm
801 gm
801 gm (s)
Broiler
Broiler (s)
Broiler(s)
Diseased Eye
Diseased Eye (s)
Pendulous Crop
Pendulous Crop (s)
Sick Broiler
Sick Broiler (s)
Slipped Tendon
Slipped Tendon (s)
Stressed (beaks open)
Stressed (beaks open) (s)
Thermal camra
chicken seg
hen
Description

Here are a few use cases for this project:

  1. Poultry Farm Monitoring: Use YOLOv7 to automatically monitor and identify unhealthy or stressed birds within a poultry farm to ensure their well-being and overall farm productivity.

  2. Poultry Disease Management: Detect specific diseases like Diseased Eye, Pendulous Crop, or Slipped Tendon in chickens, enabling farm managers to provide timely treatments and reduce the risk of disease spread within the facility.

  3. Growth Tracking and Optimization: Track the weight of the birds (given in gm) in a poultry farm to optimize their growth and improve the planning of feeding regimes, informing future breeding and selection practices.

  4. Automated Poultry Sorting: Use the YOLOv7 model to automatically segregate broilers, hens, and chickens of varying sizes and ages into different groups, streamlining the workflow within the poultry farm.

  5. Poultry Industry Research: Analyze collected data from the model on various AI classes to inform research on poultry breeding programs, disease control methods, and stress reduction among poultry populations.

Supervision

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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{
                            yolov7-y40an-bqp35_dataset,
                            title = { YOLOv7 Dataset },
                            type = { Open Source Dataset },
                            author = { jihan-latifah },
                            howpublished = { \url{ https://universe.roboflow.com/jihan-latifah/yolov7-y40an-bqp35 } },
                            url = { https://universe.roboflow.com/jihan-latifah/yolov7-y40an-bqp35 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-12-31 },
                            }

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