Improve dataset card: add paper link, GitHub link, and metadata
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by nielsr HF Staff - opened
README.md
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VRGaze dataset sample:
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---
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task_categories:
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- other
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tags:
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- computer-vision
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- gaze-estimation
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- virtual-reality
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---
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# VRGaze: A Large-scale Dataset for VR Gaze Estimation
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[Paper](https://huggingface.co/papers/2603.07832) | [Code](https://github.com/gazeshift3/gazeshift)
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VRGaze is the first large-scale off-axis gaze estimation dataset for Virtual Reality (VR), introduced in the paper "GazeShift: Unsupervised Gaze Estimation and Dataset for VR".
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## Dataset Summary
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The dataset comprises **2.1 million near-eye infrared images** collected from 68 participants. It is specifically designed to address data scarcity in VR gaze research, focusing on the off-axis camera configurations typical of modern headsets.
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- **Images:** 2.1 million infrared images.
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- **Participants:** 68 individuals.
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- **Hardware:** Off-axis camera configurations common in modern VR systems.
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- **Purpose:** Designed for unsupervised gaze representation learning and few-shot calibration.
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## Dataset Sample
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VRGaze dataset sample:
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## Usage
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To use this dataset with the official GazeShift implementation, follow these steps:
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### Installation
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```bash
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git clone https://github.com/gazeshift3/gazeshift
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cd gazeshift
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pip install -r requirements.txt
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```
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### Training
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To reproduce the experiments on the VRGaze dataset, run the provided training script (ensure you update the dataset and output locations within the script):
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```bash
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bash Train.sh
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```
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The model is expected to achieve a mean angular error of approximately 1.84° after per-person calibration (around 400K steps).
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