# Object Detection with YOLOv3 and PlotlyJS

**URL:** <https://discourse.julialang.org/t/object-detection-with-yolov3-and-plotlyjs/70540>\
**Category:** Machine Learning\
**Tags:** images, plotting, webapps, object-detection, gui\
**Created:** [October 28, 2021, 9:42am UTC](https://discourse.julialang.org/t/object-detection-with-yolov3-and-plotlyjs/70540 "2021-10-28T09:42:21Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![cepel](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/cepel/32/30275_2.png) [@cepel](https://discourse.julialang.org/u/cepel)\
**Post date:** [October 28, 2021, 9:42am UTC](https://discourse.julialang.org/t/object-detection-with-yolov3-and-plotlyjs/70540/1 "2021-10-28T09:42:21Z")

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Hey everyone!

I have developed a [Dash](https://github.com/plotly/Dash.jl) Julia application for object detection (with [ObjectDetector.jl](https://github.com/r3tex/ObjectDetector.jl), using Flux backend). You can enter an image URL, adjust detection and overlap thresholds, and plot the image with bounding boxes. Unfortunately, Heroku limits couldn’t run the application but feel free to download and run locally!

[**GitHub**](https://github.com/tolgahancepel/dash-julia-applications/tree/main/objectdetector-yolo) ← Click Here

GIF:  
 ![objectdetector-yolo](https://global.discourse-cdn.com/julialang/original/3X/8/e/8ef09d1a623d083ad3da2068c71bd8d2a7903416.gif)

More Images:

 ![airplanes](https://global.discourse-cdn.com/julialang/original/3X/1/e/1eb8058b6143731296b167281abb23fba8280c7d.png)  
 ![workspace](https://global.discourse-cdn.com/julialang/original/3X/1/d/1d973597e40de8e2b6b079507f2590f87a78fe66.png)  
 ![elephants](https://global.discourse-cdn.com/julialang/original/3X/2/1/21f955de1b2a09c90f53dd0b34d2c7a0aefaed94.png)

I look forward to your feedback and hope this application is helpful for the community.

Thank you! 🙂