SadikNawazAI/sadik-image-classification-multiverse

🌌 SADIK Vision Multiverse Dataset (500 Images)

A Curated Multi-Class Image AI Dataset for Computer Vision & Deep Learning

Created with passion by Sadik Nawaz (Age 11, Class 6) 🚀

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📸 Dataset Overview

SADIK Vision Multiverse contains 500 curated, annotated images across 4 balanced categories (~125 images per category), designed for training Convolutional Neural Networks (CNNs), Vision Transformers (ViT), and multimodal CLIP models.

🏷️ Classes & Categories:

#	Class Name	Samples	Description
1	cyberpunk_tech	~125	Sci-Fi, AI avatars, cyberpunk neon cities, robotics & cyber tech
2	anime_digital_art	~125	Anime style illustrations, manga art, fantasy landscape scenery
3	photorealistic_portraits	~125	High-definition natural, studio, and cinematic human portraits
4	game_assets_3d	~125	3D models, low-poly game environments, voxels, gaming props
Total	4 Categories	500	Complete with metadata.jsonl labels & captions

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⚡ How to Load & Use in Python

from datasets import load_dataset

# 1-Line Load in Hugging Face Datasets
dataset = load_dataset("SadikNawazAI/sadik-image-classification-multiverse")

print("Total images:", len(dataset["train"]))  # 500 images
sample = dataset["train"][0]
print("Label:", sample["label"])
print("Caption:", sample["caption"])
sample["image"].show()

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👨‍💻 About the Creator

Sadik Nawaz — 11 years old, Class 6 AI developer from Pakistan 🇵🇰

• Creator of SADIK AI (Multilingual LLM & Chat)
• Published Models, Spaces & Datasets on Hugging Face: @SadikNawazAI