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YOLOv7 Computer Vision Project

ATASH

Updated 12 days ago

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Tags
Object Detection
Classes (260)
1009 gm
1049 gm
1049 gm (s)
1078 gm
1139 gm
1150 gm
1150 gm (s)
116 gm
120 gm
120 gm (s)
1216 gm
1216 gm (s)
1238 gm
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1284 gm
1284 gm (s)
1288
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1288 gm (s)
1306 gm
1306 gm (s)
134 gm
134 gm (s)
1340 gm
1340 gm (s)
139
139 gm
139 gm uns
1454 gm
1454 gm (s)
1465 gm
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1480 gm
1480 gm (s)
1484 gm
1484 gm (s)
1493 gm
1493 gm (s)
1520 gm
153 gm
153 gm (s)
1532
1532 gm
1538 gm
1552 gm
1552 gm (s)
1555 gm
1555 gm (s)
1569 gm
157 gm
157 gm (s)
1583 gm
1583 gm (s)
1599 gm
1599 gm (s)
160 gm
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161 gm
161 gm (s)
162 gm
162 gm (s)
1627 gm
163 gm
163 gm (s)
165 gm
165 gm (s)
1673 gm
1673 gm (s)
1709 gm
1709 gm (s)
1779 gm
1779 gm (s)
185 gm
185 gm (s)
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186 gm (s)
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1986 gm
1986 gm (s)
200 gm
201 gm
201 gm (s)
206 gm
206 gm (s)
207 gm
207 gm (s)
209 gm
209 gm (s)
2093 gm
2093 gm (s)
2093 gm(s)
210 gm
210 gm (s)
211 gm
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212 gm
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233 gm
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236 gm
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243 gm
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245 gm (s)
271 gm (s)
282 gm
282 gm (S)
292 gm
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301 gm
301 gm (s)
304 gm
323 gm
329 gm
329 gm (s)
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344 gm (s)
373 gm
373 gm (s)
381 gm
381 gm (s)
386
386 gm
386 gm (s)
389 gm (s)
391 gm
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396 gm
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403 gm (s)
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408 gm (s)
413 gm
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420 gm (s)
422 gm
422 gm (s)
434 gm (s)
438 gm (s)
440 gm
440 gm (s)
450 gm
450 gm (s)
454 gm
454 gm (s)
461 gm
461 gm (s)
488 gm
488 gm (s)
497 gm
506 gm
506 gm (s)
509 gm
509 gm (s)
518 gm
522 gm (s)
534 gm
534 gm (s)
536 gm (s)
541 gm (s)
546 gm
546 gm (s)
547 gm
560 gm
562 gm
562 gm (s)
569 gm
569 gm (s)
580 gm (s)
592 gm
592 gm (s)
598 gm
598 gm (s)
601 gm (s)
611 gm
611 gm (s)
620 gm
620 gm (s)
633 gm (s)
638 gm
638 gm (s)
649 gm
650 gm
650 gm (s)
668 gm
668 gm (s)
679 gm
679 gm (s)
696 gm
696 gm (s)
719 gm
719 gm (s)
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-bnjfb_dataset,
                            title = { YOLOv7 Dataset },
                            type = { Open Source Dataset },
                            author = { ATASH },
                            howpublished = { \url{ https://universe.roboflow.com/atash/yolov7-y40an-bnjfb } },
                            url = { https://universe.roboflow.com/atash/yolov7-y40an-bnjfb },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-07 },
                            }

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