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# Building your own Object Detector from Scratch with Tensorflow

**[Towards AI](https://daily.dev/sources/tai)** · 9 min read · 38 upvotes · 0 comments

## Summary

This post discusses building an object detector from scratch using TensorFlow. It covers the model architecture, tasks involved in object detection, and the training process. The post also mentions the importance of data augmentation and improving model capacity to achieve better results.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://pub.towardsai.net/building-your-own-object-detector-from-scratch-with-tensorflow-bfeadfaddad8>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#deep-learning](https://daily.dev/tags/deep-learning), [#tensorflow](https://daily.dev/tags/tensorflow), [#object-detection](https://daily.dev/tags/object-detection)

[View this post on daily.dev](https://daily.dev/posts/building-your-own-object-detector-from-scratch-with-tensorflow-o5b5ues4p)

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