1000 Pokemon Dataset

This comprehensive Pokémon Image Dataset features 26,539 images across 1,000 Pokémon species, meticulously organized into subdirectories for each class. Each image is resized to 128×128 pixels and saved in PNG format, making it ideal for machine learning and computer vision applications. Originally created for a Pokedex project using Flutter, this dataset serves as a valuable resource for AI training. To maximize its effectiveness, data augmentation is recommended during model training.

Dataset Details

• Total Images: 26,539
• Number of Classes: 1,000 (Pokémon species)
• File Format: PNG
• Image Dimensions: 128×128 pixels
• Dataset Size: ~407MB
• Storage Structure: Subdirectories for each Pokémon species.

Key Features

1. High-Quality Organization: Each Pokémon species is stored in its dedicated subdirectory, enabling efficient data management and retrieval.
2. Compact Image Size: All images are uniformly resized to 128×128 pixels, optimizing performance for computer vision tasks.
3. Versatile Applications: Ideal for tasks such as image classification, transfer learning, and benchmarking computer vision algorithms.
4. Optimized for AI Models: Supports the development and fine-tuning of Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs).

Suggested Use Cases

• Image Classification: Train AI models to identify and classify Pokémon species.
• Transfer Learning: Fine-tune advanced models like Vision Transformers or CNNs for specific tasks.
• Benchmarking: Use this dataset to evaluate model performance in computer vision projects.
• Pokedex App Development: A perfect resource for developers creating a Pokémon Pokedex application.