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README.md
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license: mit
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---
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license: mit
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base_model:
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- Ultralytics/YOLOv8
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pipeline_tag: image-segmentation
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datasets:
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- afshin-dini/Egg-Instance-Segmentation
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tags:
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- object-segmentation
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- YOLO
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- Egg-Instance-Segmentation
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library_name: pytorch
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---
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# Description
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This model is a YOLO-based model which is trained on [Egg Instance Segmentation](https://huggingface.co/datasets/afshin-dini/Egg-Instance-Segmentation).
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## Code
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The complete code can be found [here](https://github.com/afshindini/Deep-Egg-Segmentation-and-Sizing).
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## How to use
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One can use the model within his/her code with the following commands:
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```shell
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from huggingface_hub import hf_hub_download
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from ultralytics import YOLO
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model_path = hf_hub_download(repo_id="afshin-dini/Egg-Instance-Segmentation", filename="model/egg_segmentor.pt")
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model = YOLO(model_path)
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result = model("path/to/image")
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```
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