Finding high-quality eye-tracking datasets can be tricky, especially if you need particular demographics, lighting conditions, or video durations.
That’s why at Twine we specialize in helping companies create custom eye-tracking video datasets and will help you get the data you need, no matter the demographics or requirements.
But if you’re specifically looking for an off-the-shelf dataset then why we’ve done the hard work for you. We’ve searched high and low to find the best eye-tracking video datasets for you.
So, are you ready to dive in?
Let’s get into our list of the best Eye Tracking Video Datasets in 2022.
Here are our top picks for the best Eye Tracking video datasets out there:
1. Largest Eye-Tracking Video Dataset
The Provo Corpus is a large corpus of eye-tracking data with accompanying predictability norms. The predictability norms for the Provo Corpus differ from those of other corpora.
In addition to traditional cloze scores that estimate the predictability of the full orthographic form of each word, the Provo Corpus also includes measures of the predictability of morphosyntactic and semantic information for each word.
2. Best Eye Gaze Video Dataset
Gaze Capture is a large-scale eye-tracking dataset captured via crowdsourcing. It features 1474 subjects that captured themselves using their cellphones. researchers created an iOS app that users could download and use to capture their eyes. Thus, the researchers were able to collect data at scale.
Bottom Line – GazeCapture is a very large-scale dataset, it was the first eye-tracking dataset to leverage crowdsourcing. It features a high degree of variance. Subjects of different ages, ethnicities, and appearances captured themselves on their phones in a variety of locations and with different lighting.
- Number of Images – 2.5 Million Frames
- Subjects – 1474
3. Best Eye Movement Prediction Video Dataset
EEGEyeNet is a Simultaneous Electroencephalography and Eye-tracking Dataset and a Benchmark for Eye Movement Prediction. The dataset consists of recordings from 356 different subjects collected from three different experimental paradigms.
4. Best Driver Eye Tracking Video Dataset
DR(eye)VE is a large dataset of driving scenes for which eye-tracking annotations are available. This dataset features more than 500,000 registered frames, matching ego-centric views (from glasses worn by drivers) and car-centric views (from a roof-mounted camera), further enriched by other sensors measurements.
- Over 500,000 registered frames, matching ego-centric views (from glasses worn by drivers) and car-centric views (from roof-mounted camera)
To conclude, here are top picks for the best Eye-Tracking Video datasets:
- The Biggest Eye Tracking Dataset – The Provo Corpus
- Best Eye Gaze Dataset – The Gaze Capture Dataset
- Best Eye Movement Prediction dataset – EEGEyeNet
- Best Driver Eye tracking datasets – DR(eye)VE
We hope that this list has either helped you find a dataset for your project or, realize the myriad of options available to you.
If there are any datasets you would like us to add to the list then please let us know here.
If you would like to find out more about how we could help build a custom dataset for your project then please don’t hesitate to contact us!
Let us help you do the math – check our AI dataset project calculator.