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IPL 2023 Face Detection & Player Data

Sports & Recreation

Tags and Keywords

Cricket

Ipl

Player

Image

Sports

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IPL 2023 Face Detection & Player Data Dataset on Opendatabay data marketplace

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Free

About

Contains metadata and a vast collection of 7,500 images for 150 popular players from all 10 teams who participated in the Indian Premier League (IPL) 2023 season. This collection is ideal for various machine learning tasks, including image classification and face detection, as well as for research and personal projects related to cricket analytics. The data provides key details about each player, such as their name, role, auction price, nationality, and team affiliation.

Columns

  • Player_Name: The full name of the cricket player.
  • Player_Role: The primary role of the player on the team (e.g., Bowler, All-rounder).
  • Player_Price: The auction price of the player, typically in Indian Rupees (INR).
  • Nation: The country the player represents in international cricket.
  • Team: The IPL franchise the player belongs to (e.g., SRH, RCB).

Distribution

The dataset includes a metadata file, playerlist.csv, which contains 242 records. It is accompanied by a collection of 7,500 images of the players. The data is expected to be updated annually.

Usage

This dataset is well-suited for a variety of applications, including:
  • Developing and training image classification models.
  • Building face detection systems.
  • Creating neural networks for personal projects.
  • Supporting academic or independent research work in sports analytics.

Coverage

The dataset covers 150 popular players from all 10 teams participating in the IPL 2023 season. Geographically, it includes players from various nations, with a majority from India (68%), followed by South Africa and others.

License

CC0: Public Domain

Who Can Use It

  • Data Scientists and Machine Learning Engineers: Can use the images and metadata to build and train models for player recognition or performance analysis.
  • Researchers: Can leverage the data for academic studies in sports science and computer vision.
  • Hobbyists and Students: Ideal for personal projects related to cricket, data analysis, and building neural networks.
  • Sports Analysts: Can use the player metadata for creating visualisations and reports on team composition and player demographics.

Dataset Name Suggestions

  • IPL 2023 Player Image & Metadata Collection
  • Indian Premier League 2023 Player Profiles
  • Cricket Player Image & Auction Data (IPL 2023)
  • IPL 2023 Face Detection & Player Data

Attributes

Listing Stats

VIEWS

4

DOWNLOADS

0

LISTED

17/09/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format