datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
indian-art-styles
🎨 Indian Art Styles Dataset
A comprehensive image classification dataset covering 34 distinct Indian painting and art styles with 27,139 images in total. This dataset is designed for training Vision Transformer (ViT) and CNN-based classifiers to recognize traditional Indian art styles.
Dataset Overview
Style
Region
Medium
Image Count
aipan
Uttarakhand
floor/wall painting
6
bengal_school
West Bengal
painting
1287
bhil
Madhya Pradesh / Rajasthan /… See the full description on the dataset page: https://huggingface.co/datasets/Divya0001/indian-art-styles.indian-traditional-artificial-jewellery
Traditional and Handmade Indian Jewellery Dataset
This dataset contains a comprehensive collection of traditional and handmade Indian jewelry, sourced from various e-commerce platforms and manufacturer websites. It provides a rich set of attributes for each jewelry piece, making it a valuable resource for various data analysis, machine learning, and market research tasks.
Dataset Overview
This dataset is designed to provide detailed information about Indian jewelry… See the full description on the dataset page: https://huggingface.co/datasets/Coder-Dragon/indian-traditional-artificial-jewellery.indian-foods-dataset
Dataset Card for Indian Foods Dataset
Dataset Summary
This is a multi-category(multi-class classification) related Indian food dataset showcasing The-massive-Indian-Food-Dataset.
This card has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English
Dataset Structure
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['biryani', 'cholebhature'… See the full description on the dataset page: https://huggingface.co/datasets/bharat-raghunathan/indian-foods-dataset.indian-traditional-artificial-jewellery
Traditional and Handmade Indian Jewellery Dataset
This dataset contains a comprehensive collection of traditional and handmade Indian jewelry, sourced from various e-commerce platforms and manufacturer websites. It provides a rich set of attributes for each jewelry piece, making it a valuable resource for various data analysis, machine learning, and market research tasks.
Dataset Overview
This dataset is designed to provide detailed information about Indian… See the full description on the dataset page: https://huggingface.co/datasets/manidhardevu/indian-traditional-artificial-jewellery.indian-driving-license-dataset
Synthetic Indian Driving License Image Dataset
Overview
This dataset contains 30 synthetic images of Indian driving licenses generated using the Z-Image-Turbo diffusion model. The images cover a wide range of Indian states/UTs, document formats, lighting conditions, angles, and wear states — designed for training and evaluating document analysis, OCR, and classification models.
Dataset Structure
indian-dl-dataset/
├── README.md
├── metadata.json… See the full description on the dataset page: https://huggingface.co/datasets/NIDHISH1980/indian-driving-license-dataset.indian_food_imagesSource of dataset: Kaggle
This Dataset contains different images of food in 20 different classes. Some of the classes are of Indian food. All the images are extracted from google. Images per classes are little so Data augmentation and transfer learning will be best suited here.
Classes of the model: "burger", "butter_naan", "chai", "chapati", "chole_bhature", "dal_makhani", "dhokla", "fried_rice", "idli", "jalebi", "kaathi_rolls", "kadai_paneer", "kulfi", "masala_dosa", "momos", "paani_puri"… See the full description on the dataset page: https://huggingface.co/datasets/rajistics/indian_food_images.Indian-plant-leaves-species
Indian Plant Leaves Species
Dataset Summary
This dataset consists of 592 high-resolution images of leaves from 12 different plant species. All images were captured using a mobile phone camera under natural lighting conditions. The dataset is intended for use in plant species classification, leaf recognition, and related computer vision tasks.
Supported Tasks and Leaderboards
Image Classification
Species Recognition
Transfer Learning for Plant Identification… See the full description on the dataset page: https://huggingface.co/datasets/avaishnav/Indian-plant-leaves-species.rice_leaf_disease_classification_india
Rice Leaf Disease Classification India
A dataset for disease classification of rice leaves. The dataset contains 5,932 images across 4 classes: Bacterialblight, Blast, Brownspot, Tungro.Images per class:
Bacterialblight: 1,584
Blast: 1,440
Brownspot: 1,600
Tungro: 1,308
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{sethy2020deep,
title={Deep feature based rice leaf disease identification using… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_leaf_disease_classification_india.indian_dance_formsThis dataset is taken from https://www.kaggle.com/datasets/aditya48/indian-dance-form-classification but is originally from the Hackerearth deep learning contest of identifying Indian dance forms. All the credits of dataset goes to them.
Content
The dataset consists of 599 images belonging to 8 categories, namely manipuri, bharatanatyam, odissi, kathakali, kathak, sattriya, kuchipudi, and mohiniyattam. The original dataset was quite unstructured and all the images were put together.… See the full description on the dataset page: https://huggingface.co/datasets/tanmaykm/indian_dance_forms.indian-foods-dataset
Dataset Card for Indian Foods Dataset
Dataset Summary
This is a multi-category(multi-class classification) related Indian food dataset showcasing The-massive-Indian-Food-Dataset.
This card has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English
Dataset Structure
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['biryani'… See the full description on the dataset page: https://huggingface.co/datasets/shardulkamde/indian-foods-dataset.pomegranate_disease_classification_india
Pomegranate Disease Classification India
A dataset for disease classification of Pomegranate fruits. The dataset contains 5,099 images across 5 classes: Alternaria, Anthracnose, Bacterial_Blight, Cercospora, Healthy.Images per class:
Alternaria: 886
Anthracnose: 1,166
Bacterial_Blight: 966
Cercospora: 631
Healthy: 1,450
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{pakruddin2024comprehensive… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/pomegranate_disease_classification_india.enhanced-indian-food-classification
Enhanced Indian Food Classification Dataset
A comprehensive dataset for Indian food classification with 15,404 images across 43 classes.
Dataset Structure
dataset/
├── train/ # Training images
├── validation/ # Validation images
└── test/ # Test images
Usage
from datasets import load_dataset
# Load dataset
dataset = load_dataset("SohlHealth/enhanced-indian-food-classification")
# Access splits
train_data = dataset['train']
val_data… See the full description on the dataset page: https://huggingface.co/datasets/SohlHealth/enhanced-indian-food-classification.Net.a.Porter.Product.prices.India
Net-a-Porter web scraped data
About the website
In the Asia Pacific region, particularly India, retail industries are witnessing a significant digital transformation. The Ecommerce industry is particularly flourishing, revolutionised by advanced technology, the proliferation of smartphones, and improved internet infrastructure. The online fashion retail sector is a key player in this surge, making a strong foothold in the world of Ecommerce. Net-a-Porter, a premier luxury… See the full description on the dataset page: https://huggingface.co/datasets/DBQ/Net.a.Porter.Product.prices.India.Images-of-Top-Indian-Cities
Dataset Card for Dataset Name
Includes Images for different Indian Cities.
Dataset Details
Each city has 2500 images
Dataset Description
This dataset contains 2500 images per Cities of popular indian Cities, City included are Ahmendabad, Mumbai, Delhi, Koklakta and A state Kerala.
Curated by: Divax Shah and Team
Dataset Sources
Google
Demo: here
arXiv : https://arxiv.org/abs/2403.10912
enhanced-indian-food-classification
Enhanced Indian Food Classification Dataset
A comprehensive dataset for Indian food classification with 15,404 images across 43 classes.
Dataset Structure
dataset/
├── train/ # Training images
├── validation/ # Validation images
└── test/ # Test images
Usage
from datasets import load_dataset
# Load dataset
dataset = load_dataset("SohlHealth/enhanced-indian-food-classification")
# Access splits
train_data = dataset['train']
val_data… See the full description on the dataset page: https://huggingface.co/datasets/Prateek-044/enhanced-indian-food-classification.indian_dance_formsThis dataset is taken from https://www.kaggle.com/datasets/aditya48/indian-dance-form-classification but is originally from the Hackerearth deep learning contest of identifying Indian dance forms. All the credits of dataset goes to them.
Content
The dataset consists of 599 images belonging to 8 categories, namely manipuri, bharatanatyam, odissi, kathakali, kathak, sattriya, kuchipudi, and mohiniyattam. The original dataset was quite unstructured and all the images were put together.… See the full description on the dataset page: https://huggingface.co/datasets/SiddharthStarr/indian_dance_forms.indian-foods-dataset
Dataset Card for Indian Foods Dataset
Dataset Summary
This is a multi-category(multi-class classification) related Indian food dataset showcasing The-massive-Indian-Food-Dataset.
This card has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
English
Dataset Structure
{
"image": "Image(decode=True, id=None)",
"target": "ClassLabel(names=['biryani'… See the full description on the dataset page: https://huggingface.co/datasets/LALIT324rt/indian-foods-dataset.