custom image dataset

custom image dataset

Datasets

custom image dataset

File

custom image dataset

Use Case

custom image dataset

Description

826-image dataset of Man, Ship, and Building for machine learning and deep learning projects. Perfect for image classification and object detection tasks.

custom image dataset

Description:

A curated dataset of 826 images across three categories: Man, Ship, and Building, designed for machine learning and deep learning tasks like image classification, object detection, and transfer learning. Images are in JPG/PNG format (RGB) and organized into class-specific folders for seamless integration. Perfect for researchers, developers, and AI enthusiasts working on vision-based projects.

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The Man, Ship, and Building Image Dataset is a curated collection of 826 high-quality images, designed to enhance machine learning and deep learning applications. This dataset is ideal for tasks like image classification, object detection, and transfer learning, providing a versatile foundation for supervised learning projects.

Key Features

  • Number of Classes: 3 distinct categories – Man, Ship, and Building
  • Total Images: 826 curated images for optimal model training and testing
  • Image Formats: JPG and PNG (RGB format) for compatibility with most machine learning frameworks
  • Usage: Suitable for a variety of AI and ML tasks, including:
    • Image classification
    • Feature extraction
    • Object detection
    • Transfer learning

Dataset Structure

The dataset is meticulously organized into class-specific folders for ease of use:

  • /Man – Contains images related to individuals (Men) in various settings
  • /Ship – A collection of diverse ship images across different environments
  • /Building – Architectural images featuring buildings of varied styles

Each class folder contains labeled images to streamline training processes.

Applications

This dataset is perfect for:

  • Researchers and data scientists working on vision-based AI models
  • Developers looking to train and fine-tune image classification models
  • Beginners and experts in deep learning exploring transfer learning workflows

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