📂 Heritage360-Morocco

📖 Description

Heritage360-Morocco is a large-scale dataset of ~16,200 images across 54 classes, created to support research and applications in computer vision for cultural heritage.

It captures Moroccan monuments, artifacts, crafts, gastronomy, and everyday cultural scenes, with a particular focus on Tangier and Northern Morocco. The dataset is designed for tasks such as:

• 🖼️ Image classification
• 🔍 Object detection
• 📝 Image captioning & multimodal AI (tour-guide style descriptions)
• 🎭 Cultural heritage preservation & tourism applications

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📊 Dataset composition

• Total images: ~16,200
• Classes: 54 (≈300 images per class)
• Type: RGB images, one main class per image

Example classes

• 🥘 tajine_earthenware
• 🍵 mint_tea_pouring
• 🧵 moroccan_carpet_souk
• 👡 leather_babouches
• 🌶️ spices_market_stall
• 🏮 moroccan_lantern
• ⚔️ canon_borj_dar_el_baroud
• 🚪 porte_kasbah_entree
• ⭐ zellige_motif_etoile_musee
• … and 45+ more classes representing Morocco’s tangible cultural heritage.

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🛠 Usage

Load the dataset with 🤗 Datasets:

from datasets import load_dataset

dataset = load_dataset("8sylla/Heritage360-Morocco")

print(dataset)

Accessing samples:

sample = dataset["train"][0]
sample["image"].show()

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🎯 Applications

• 📌 Tourism: mobile apps that recognize monuments, crafts, and food.
• 📌 Education: cultural heritage learning tools for students.
• 📌 Research: AI models for cultural preservation and computer vision.
• 📌 Multimodal AI: generating tour-guide style captions and explanations.

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⚖️ License

This dataset is released under the MIT License – free to use, share, and adapt with attribution.

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🙌 Authors & Contributors

• N’faly Sylla – Creator (as part of the Tanger Smart Ruelle internship project).

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🔗 Related projects

• Tanger Smart Ruelle – Smart tourism & heritage innovation project.
• TangerVision API – Microservice for computer vision & descriptive AI.