The Best Pedestrian Detection Datasets of 2022

Pedestrian detection is a highly sought-after topic for training machine learning models. That being said, it’s not always easy to find pedestrian detection datasets to train your models. 

That’s why we’ve done the hard bit for you. We’ve searched high and low here at Twine to find the best pedestrian detection datasets.

Are you ready?

Let’s dive in.


Here are our top picks for Pedestrian Detection Datasets:

PRW (Person Re-identification in the Wild) Dataset

This is a large-scale dataset for end-to-end pedestrian detection and person recognition in raw video frames. PRW is introduced to evaluate Person Re-identification in the Wild, using videos acquired through six synchronized cameras. It contains 932 identities and 11,816 frames in which pedestrians are annotated with their bounding box positions and identities.

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ETH Pedestrian Dataset

ETH is a dataset for pedestrian detection. The testing set contains 1,804 images in three video clips. The dataset is captured from a stereo rig mounted on a car, with a resolution of 640 x 480 (layered), and a framerate of 13–14 FPS.

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INRIA Person Dataset

The INRIA Person dataset is a dataset of images of persons used for pedestrian detection. It consists of 614 person detections for training and 288 for testing. Contains image files.

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EuroCity Persons Dataset

The EuroCity Persons dataset provides a large number of highly diverse, accurate, and detailed annotations of pedestrians, cyclists, and other riders in urban traffic scenes. The images for this dataset were collected on board a moving vehicle in 31 cities in 12 European countries. With over 238,200 person instances manually labeled in over 47,300 images.

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Wrapping up

To conclude, here are top picks for the best pedestrian detection datasets for your projects:

  1. PRW (Person Re-identification in the Wild) Dataset
  2. ETH Pedestrian Dataset
  3. INRIA Person Dataset
  4. EuroCity Persons Dataset

We hope that this list has helped you find a dataset for your project or, realize the myriad options available. 

Please let us know if there are any datasets you would like us to add to the list.

If you want to learn more about how we could help build a custom dataset for your project, don’t hesitate to contact us!

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