**7. Available open-source datasets**

Research in machine learning and deep learning is started since last many decades hence significant improvement it brings to the society in terms of various application-based on deep learning and machine learning. There are many freely available datasets on the web which can be used by researchers for various purposes.


**17**

**Table 3.**

*Advancements in Deep Learning Theory and Applications: Perspective in 2020 and beyond*

**Yelp open dataset 20 newsgroups**

Prediction UCI machine learning

repository

Broadcast news WikiText

Billion words dataset: Common crawl

**CASIA WebFace facial**

Text classification datasets

*DOI: http://dx.doi.org/10.5772/intechopen.92271*

1.NEXRAD

3.Landsat8

**Google books Ngrams**

UCI's Spambase (Older)

*Text open-source datasets.*

**Table 2.**

2.OpenstreetMAP

**Artificial datasets:**

1.Arcade Universe

2.Dataset inspired from baby-AIschool

3.All images and question datasets

5.Background correlation

**Facial datasets (Table 3):**

6.Rectangles data

7.Mnist variations

**Labeled faces in the** 

*Databases for face recognitions.*

**wild**

4.Deep vs. shallow comparison ICML

**UMD faces annotated** 

Indian face database The Yale face database Mut1nyFace/head segmentation dataset

**dataset**

MS-Celeb-1M Olivetti Multi-Pie JACFEE FERET mmifacedb

**Geospatial datasets available online:**

**Dataset available for text (Table 2):**

SQuAD Google books

Penn Treebank Reuters news

Ngrams

dataset
