PrepDataset — Prepare Image Datasets Client-Side for AI & Computer Vision

Sort, organize, split, and clean image datasets locally in your browser. Fast, 100% secure, zero server lag, and GDPR compliant. Split train/validation/test folders, rename batches, and find duplicates without uploading images.

Start Sorting Images Split Existing Dataset

High-Performance Client-Side Dataset Tools

  • Image Classifier & Sorter

    Import folder hierarchies, assign custom categories via rapid keyboard shortcuts, track class balance, and export folders directly into structured datasets.

  • Stratified Dataset Splitter

    Divide your images into Train, Validation, and Test subsets. Supports stratification to preserve balanced class proportions in every folder automatically.

  • Image Resizer & Padder

    Resize, stretch, or pad (letterbox) a batch of images to uniform square dimensions needed for AI model training inputs.

  • pHash Duplicate Image Finder

    Detect near-duplicate images using client-side perceptual hashing (pHash) to increase dataset quality and prevent model overfitting.

  • Batch Image Renamer

    Rename hundreds of images using pre-defined patterns, categories, or index padding with instant folder export.

  • Corrupted Image Checker & Filter

    Automatically scan for broken formats, zero-byte files, and unreadable headers before you spend hours training models.

Why Prepare Datasets Locally Client-Side?

Traditionally, preparing machine learning datasets required uploading gigabytes of files to cloud servers, risking IP leakage and introducing latency. PrepDataset processes images directly inside your browser cache using advanced HTML5 File API and Web Workers. Your data never leaves your local computer, satisfying privacy protocols and achieving maximum speed.

How it Works in 3 Simple Steps

  1. Select Tool & Load Folder: Choose a tool and drop a local folder. All processing happens locally.
  2. Organize & Cleanse: Classify with keyboard shortcuts, split datasets, crop/resize, rename files, or filter duplicates instantly.
  3. Export Zip: Download your processed structure as a standard, organized ZIP file.

Frequently Asked Questions

Are my images uploaded to any server?

No. PrepDataset processes all images client-side. The files are read into local browser memory, processed, and zipped entirely on your machine. No server-side storage or uploads exist.

What is a stratified dataset split?

Stratification ensures each subset (Train, Val, Test) contains the same percentage of each image category as the original dataset. This prevents class imbalances in your machine learning train/test splits.

Which computer vision models is this for?

PrepDataset helps prepare datasets for any AI/ML model, including YOLO, PyTorch, TensorFlow, Keras, Hugging Face transformers, OpenCV, CNNs, and more.