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# System prepended metadata

title: 'CROD: Dirty References'

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# CROD: Dirty References

Let's use this document to add some references. 

### Training a YOLOv3 Object Detection Model with a Custom Dataset

* URL: https://towardsdatascience.com/training-a-yolov3-object-detection-model-with-a-custom-dataset-4981fa480af0
* TYPE: Tutorial
* LEVEL: Good

### TensorFlow 2 YOLO v3 MNIST detection training tutorial

* URL: https://medium.com/analytics-vidhya/tensorflow-v2-1-yolo-v3-mnist-detection-training-tutorial-ea42f5b6be28
* TYPE: Tutorial
* LEVEL: Good

### Tensornets

* URL: https://github.com/taehoonlee/tensornets
* TYPE: Github Repository
* LEVEL: Regular


### YOLO Object Detection: Understanding the You Only Look Once Paper

* URL:https://hackerstreak.com/yolo-made-simple-interpreting-the-you-only-look-once-paper/
* TYPE: Explanatory article
* LEVEL: Good

### Detect Vehicles and People with YOLOv3 and Tensorflow

* URL: https://hackerstreak.com/track-vehicles-and-people-using-yolov3-and-tensorflow/
* TYPE: Tutorial
* LEVEL: Regular

Complementary code: https://github.com/Baakchsu/Vehicle-and-people-tracking-with-YOLOv3-

### Evolution of Object Detection and Localization Algorithms

* URL: https://towardsdatascience.com/evolution-of-object-detection-and-localization-algorithms-e241021d8bad
* TYPE: Explanatory article
* LEVEL: Good

### You Only Look Once: Unified, Real-Time Object Detection

* URL: https://arxiv.org/abs/1506.02640
* TYPE: Research paper
* LEVEL: Hard Core

### A Gentle Introduction to Object Recognition With Deep Learning

* URL: https://machinelearningmastery.com/object-recognition-with-deep-learning/
* TYPE: Article
* LEVEL: Informative


### Object Detection with Deep Learning: The Definitive Guide
* URL: https://tryolabs.com/blog/2017/08/30/object-detection-an-overview-in-the-age-of-deep-learning/
* TYPE: Article
* LEVEL: Informative

###  YOLO9000 Better, Faster, Stronger
* URL: https://arxiv.org/pdf/1612.08242.pdf
* TYPE: Research Paper
* LEVEL: Hard Core

### Detectron
* URL: https://github.com/facebookresearch/Detectron
* TYPE: Github repository
* LEVEL: Good