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