How to Use

Welcome to images.cv! Here, you'll learn how to download, structure, and generate AI-powered image datasets.

Folder Structure

After downloading and unzipping a dataset, you'll find a "data" folder containing:

• train/ - Training images categorized by labels.
• test/ - Testing images for model validation.
• val/ - Validation images for fine-tuning.

Labels

Each dataset is structured with labeled subfolders where each folder name represents a category.

Image Format

All images are provided in .jpg format using advanced compression for high quality with optimized storage.

Image Augmentation

Augmentation increases training images by 30% with transformations like rotations and brightness adjustments.

Generating AI-Powered Datasets

Follow these steps to generate AI-powered labeled image datasets:

Generating AI-Powered Datasets

Follow these steps to generate AI-powered labeled image datasets:

• Choose a Dataset Name:

  Define a meaningful name that describes the dataset's subject.

• Select Labels:

  Define categories for your dataset (e.g., "cracked_asphalt").

• Generate Prompts:

  Write descriptive text to guide AI image generation.

• Generate Images & Select Quantity:

  Choose how many images you need per label.

• Edit & Refine Dataset:

  Remove unwanted images, tweak prompts, or generate additional data.

• Download & Use Image Processing Tools:

  Apply augmentation, resizing, or color correction.

Registration & Pricing

To generate images, you must be a registered user. Each generated image costs credits.
🎉 Get 25 free images when signing up!

Download & Tools

Download datasets and apply tools like augmentation, color adjustments, and resizing.