Collection of 16 Indic language datasets from IIT Bombay hosted on IndiaAI's AIKOSH platform as part of the BharatGen initiative. Includes handwritten and printed Devanagari script images, scanned table recognition data, 78+ hours of multilingual audio, QA pairs, and math word problems. Covers Marathi plus 9 other Indian languages.

Large-scale scene text dataset for 11 Indian languages plus English, sourced from Wikimedia images of Indian signboards and street scenes. Includes 5,113 Marathi word annotations with polygon bounding boxes

Marathi translations of MS-COCO image captions, verified by native Marathi speakers for linguistic accuracy and contextual integrity. Useful for training image captioning and cross-lingual retrieval models

Culturally-diverse Multilingual Visual Question Answering benchmark with questions from 30 countries in 31 languages including Marathi. Images and questions are annotated by native speakers familiar with local culture

Handwritten character image database with 46 classes (36 characters + 10 digits) of Devanagari script. Each grayscale image is 32x32 pixels. Applicable to Marathi character recognition since Marathi uses Devanagari

Sentinel-2 satellite image dataset for land use and land cover classification. Contains geo-referenced RGB and multispectral images across 10 classes. Applicable to Maharashtra remote sensing and agricultural monitoring

ICDAR 2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition. Covers 10 languages across 7 scripts including Devanagari, applicable to Marathi scene text

Large-scale Devanagari handwritten word dataset from CVIT, IIIT Hyderabad. Contains word-level images with corrected segmentation. Applicable to Marathi handwriting recognition as Marathi uses Devanagari script

Indic Scene Text Recognition dataset covering 12 major Indian languages including Marathi. Word images collected from natural scenes such as signboards, shop nameplates, railway stations, advertisements, and banners

2,500+ images of full handwritten Marathi text (sentences and paragraphs, not isolated characters). Native speakers wrote pre-designed text covering nearly all Marathi characters, words, and diacritical marks. Fills the gap between character-level datasets (like Devanagari HWR) and real-world handwritten text recognition (HTR).

Collection of ~12K Marathi word images with corresponding UTF-8 text labels, sourced from 12 Marathi books across various genres. Images are binarized, thresholded, and resized to 96 dpi for direct neural network input

Marathi lip reading dataset containing video recordings of speakers pronouncing Marathi words and phrases, designed for visual speech recognition and lip-reading AI systems. One of the few lip-reading datasets for any Indian language.

Large-scale remote sensing image scene classification benchmark with 45 scene classes extracted from Google Earth covering 100+ countries. Applicable to Maharashtra urban planning, land use mapping, and infrastructure analysis