<hr />
<div class="embed-wrapper"><div class="embed-loading"><div class="loadingRow"></div><div class="loadingRow"></div></div><a class="embed-card" href="https://twitter.com/mendezluisjose/status/1692197555138973934?s=20">https://twitter.com/mendezluisjose/status/1692197555138973934?s=20</a></div>
<p> </p>
<h2 id="heading-flower-detection-and-instance-segmentation-with-yolov8">Flower Detection and Instance Segmentation with YOLOv8</h2>
<p>The <code>Flower Detection and Instance Segmentation Model</code> was trained with over 4000 Flower Images and with YOLOv8 Architecture.</p>
<p><img src="https://cdn.hashnode.com/res/hashnode/image/upload/v1692296830042/e9253807-6391-41b9-a3a8-48e49dc7141b.jpeg" alt class="image--center mx-auto" /></p>
<h2 id="heading-check-it-out">Check-it out</h2>
<p>Test it by running the <a target="_blank" href="http://app.py"><code>app.py</code></a> file, built with <code>Streamlit</code>.</p>
<p><img src="https://cdn.hashnode.com/res/hashnode/image/upload/v1692296863092/c7320ea8-75bb-4e11-bee9-fc409448c3ad.png" alt class="image--center mx-auto" /></p>
<h2 id="heading-run">Run</h2>
<pre><code class="lang-bash">streamlit run app.py
</code></pre>
<p><img src="https://cdn.hashnode.com/res/hashnode/image/upload/v1692296889734/53ded26f-d257-4b8d-9531-f53fdc3fa303.png" alt class="image--center mx-auto" /></p>
<h2 id="heading-resources">Resources</h2>
<ul>
<li><p>Flowers Dataset: <a target="_blank" href="https://universe.roboflow.com/flowersdetection/flowers_segmentation">https://universe.roboflow.com/flowersdetection/flowers_segmentation</a></p>
</li>
<li><p>Code: <a target="_blank" href="https://github.com/mendez-luisjose/Flower-Instance-Segmentation-Model">https://github.com/mendez-luisjose/Flower-Instance-Segmentation-Model</a></p>
</li>
</ul>


---

%[https://twitter.com/mendezluisjose/status/1692197555138973934?s=20] 

## Flower Detection and Instance Segmentation with YOLOv8

The `Flower Detection and Instance Segmentation Model` was trained with over 4000 Flower Images and with YOLOv8 Architecture.

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1692296830042/e9253807-6391-41b9-a3a8-48e49dc7141b.jpeg align="center")

## Check-it out

Test it by running the [`app.py`](http://app.py) file, built with `Streamlit`.

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1692296863092/c7320ea8-75bb-4e11-bee9-fc409448c3ad.png align="center")

## Run

```bash
streamlit run app.py
```

![](https://cdn.hashnode.com/res/hashnode/image/upload/v1692296889734/53ded26f-d257-4b8d-9531-f53fdc3fa303.png align="center")

## Resources

* Flowers Dataset: [https://universe.roboflow.com/flowersdetection/flowers\_segmentation](https://universe.roboflow.com/flowersdetection/flowers_segmentation)
    
* Code: [https://github.com/mendez-luisjose/Flower-Instance-Segmentation-Model](https://github.com/mendez-luisjose/Flower-Instance-Segmentation-Model)

Flower Instance Segmentation 🌻

Systems Engineering Student • Aragua University • Machine Learning, Deep Learning, Computer Vision
