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README.md

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-license: apache-2.0
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+license: apache-2.0
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+<h1 align="left"> GAEA: A Geolocation Aware Conversational Model</h1>
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+<h3 align="left"> Summary</h3>
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+<p align="justify"> Image geolocalization, in which, traditionally, an AI model predicts the precise GPS coordinates of an image is a challenging task with many downstream applications. However, the user cannot utilize the model to further their knowledge other than the GPS coordinate; the model lacks an understanding of the location and the conversational ability to communicate with the user. In recent days, with tremendous progress of large multimodal models (LMMs)—proprietary and open-source—researchers attempted to geolocalize images via LMMs. However, the issues remain unaddressed; beyond general tasks, for more specialized downstream tasks, one of which is geolocalization, LMMs struggle. In this work, we propose to solve this problem by introducing a conversational model `GAEA` that can provide information regarding the location of an image, as required by a user. No large-scale dataset enabling the training of such a model exists. Thus we propose a comprehensive dataset `GAEA-Train` with 800K images and around 1.6M question-answer pairs constructed by leveraging OpenStreetMap (OSM) attributes and geographical context clues. For quantitative evaluation, we propose a diverse benchmark, `GAEA-Bench` comprising 4K image-text pairs to evaluate conversational capabilities equipped with diverse question types. We consider 11 state-of-the-art open-source and proprietary LMMs and demonstrate that `GAEA` significantly outperforms the best open-source model, LLaVA-OneVision by 25.69% and best proprietary model, GPT-4o by 8.28%. We will publicly release our dataset and codes. </p>
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+## `GAEA` is the first open-source conversational model for conversational capabilities equipped with global-scale geolocalization.
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+**Main contributions:**
+1) **`GAEA-Train: A Diverse Training Dataset:`** We propose GAEA-Train, a new dataset designed for training conversational image geolocalization models, incorporating diverse visual and contextual data.
+2) **`GAEA-Bench: Evaluating Conversational Geolocalization:`** To assess conversational capabilities in geolocalization, we introduce GAEA-Bench, a benchmark featuring various question-answer formats.
+3) **`GAEA: An Interactive Geolocalization Chatbot:`** We present GAEA, a conversational chatbot that extends beyond geolocalization to provide rich contextual insights about locations from images.
+4) **`Benchmarking Against State-of-the-Art LMMs:`** We quantitatively compare our model’s performance against 8 open-source and 3 proprietary LMMs, including GPT-4o and Gemini-2.0-Flash.
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+<b> This page is dedicated to the GAEA model </b>
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+<p align="center">
+   <img src="Assets/GeoLLM-Bench.jpg" alt="Geo-LLM-Bench"></a>
+</p>
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+<h2 align="left"> GAEA-Bench Curation Pipeline</h2>