Animal image for Recognition

Animal image for Recognition


Animal image for Recognition


Animal image for Recognition

Use Case

Image Classification


This dataset comprises images of four distinct types of animals: nilgai, horse, cow, and water buffalos.

Animal image for Recognition

About Dataset

This collection of data contains pictures of four different kinds of animals: nilgai, horse, cow, and water buffaloes. The main purpose of this dataset is to help recognize and sort images into these four categories.

Key Features:

Animal Categories:




Water Buffalos

Classification Task:

The main aim is to create and teach computer models to look at pictures and correctly identify whether they show a nilgai, horse, cow, or water buffalo. Firstly, we will gather a diverse and comprehensive dataset of images, each labeled with the correct animal category. This dataset will serve as the foundation for training our models.

Next, we will preprocess these images to ensure they are suitable for analysis. This step involves resizing the images, normalizing pixel values, and augmenting the data to increase the variety and robustness of the training set. By doing so, we can enhance the model’s ability to generalize and perform well on new, unseen images.

Subsequently, we will develop a convolutional neural network (CNN), a type of deep learning model particularly effective for image recognition tasks. The CNN will be trained on the preprocessed dataset, learning to extract relevant features and patterns that distinguish nilgai, horses, cows, and water buffaloes from one another.

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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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