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39 changes: 39 additions & 0 deletions docs/reference/object-detection.md
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# ObjectDetection

<center>
<img class="header-img" src="assets/header-image-classifier.png" alt="ImageClassifier Header Image" >
<p class="img-credit"> Image Credit: <a href="https://thenounproject.com/creator/naveena.160" target="_blank" title="Naveen">Naveen</a> | <a href='mailto:[email protected]'>Contribute ♥️</a> </p>
</center>

## Description

The ml5.js objectDetection is a pre-trained model that can detect object from an image or a video.

### Supported models
The ml5.js objectDetection uses pre-trained **Tensorflow.js CocoSsd model** by default.

Support for more models such as Transformer.js is under development.

### Model and Data Provenance
ml5.js team believes that it is important to not only use the model, but to understand where it is coming from : what data was used, who trained and for waht reason. For more information on the model, please visit [Model and Data Provenance](https://archive-docs.ml5js.org/#/reference/object-detector?id=model-and-data-provenance)


### Functionality
The ml5.js objectDetection detects objects in a source input.

The source input can be :

- **Webcam**
- **Image File**
- **Video File**

## Quick Start
Run and explore pre-built examples!

### Examples - p5 sketches
- [ObjectDetection Webcam]()
- [ObjectDetection Image]()
- [ObjectDetection Video]()

### Video Tutorials
- [ml5.js: Object Detection with COCO-SSD](https://youtu.be/QEzRxnuaZCk) by the Coding Train
1 change: 1 addition & 0 deletions docs/sidebar.md
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- [ImageClassifier](/reference/image-classifier.md)
- [SoundClassifier](/reference/sound-classifier.md)
- [Sentiment](/reference/sentiment.md)
- [ObjectDetection](/reference/object-detection.md)

<div class="sidebar-spacer">&nbsp;</div>

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