FruitNet: Indian Fruits Dataset with Quality

FruitNet: Indian Fruits Dataset with Quality

Datasets

FruitNet: Indian Fruits Dataset with Quality

File

FruitNet: Indian Fruits Dataset with Quality

Use Case

Computer Vision

Description

High-quality images of fruits are required to solve fruit classification and recognition problems. To build the machine learning models, neat and clean dataset is the elementary requirement.

FruitNet: Indian Fruits Dataset with Quality

 

FruitNet: Indian Fruits Dataset with Quality

About Dataset

We’ve put together the “FruitNet” dataset to help with recognizing and classifying fruits. It contains over 14,700 top-quality images of six popular Indian fruits. These images are sorted into three folders: “Good quality fruits,” “Bad quality fruits,” and “Mixed quality fruits.”

Each group includes pictures of apples, bananas, guavas, limes, oranges, and pomegranates. The pictures were taken with a mobile phone that has a high-resolution camera, so they vary in backgrounds and lighting.

The “FruitNet” dataset serves as a valuable resource for training, testing, and validating fruit classification or recognition models.

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quality dataset

Quality Data Creation

Guaranteed TAT​

Guaranteed TAT

ISO 9001:2015, ISO/IEC 27001:2013 Certified​

ISO 9001:2015, ISO/IEC 27001:2013 Certified

HIPAA Compliance​

HIPAA Compliance

GDPR Compliance​

GDPR Compliance

Compliance and Security​

Compliance and Security

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