NICTA Pedestrian Dataset

The NICTA Pedestrian Dataset is made freely available to the scientific community via this web address www.nicta.com.au/computer_vision_datasets. Any publications resulting from the use of this dataset, and derivative forms, should cite the following paper:

G. Overett, L. Petersson, N. Brewer, L. Andersson and N. Pettersson, A New Pedestrian Dataset for Supervised Learning, In IEEE Intelligent Vehicles Symposium, 2008.

The final dataset contains 25551 unique pedestrians, allowing for a dataset of over 50K images with mirroring. Additionally, TDB allows the generation of several permutations per source image in order to further bolster the training set. Large negative datasets will also be provided, although researchers training cascaded classifiers may require their own bootstrapped negative datasets. Apart from the datasets linked here the authors are willing, within reason, to produce further pedestrian datasets for the scientific community.

Figure 1. shows a selection of pedestrians from the dataset. Most images were captured using normal digital camera hardware in normal urban environments, in multiple cities and in different countries.

The negative set is drawn from a set of 5207 high resolution pedestrian free images in varied environments. Both the negative and positive sets are divided into unique folds for tasks such as validation.

Figure 1. Example 32x80 Pedestrians

Download Pedestrian Dataset

Click here to download the Pedestrian Dataset. (Please note that some file sizes are quite large and may take time to download).
For further information on the Pedestrian Dataset, please contact Gary.Overett@nicta.com.au or Lars.Petersson@nicta.com.au

This dataset ('Licensed Material') is made available to the scientific community for non-commercial research purposes such as academic research, teaching, scientific publications or personal experimentation. Permission is granted by National ICT Australia Limited (NICTA) to you (the 'Licensee') to use, copy and distribute the Licensed Material in accordance with the following terms and conditions:

 

1. Licensee must include a reference to NICTA and the following publication in any published work that makes use of the Licensed Material: G. Overett, L. Petersson, N. Brewer, L. Andersson and N. Pettersson, A New Pedestrian Dataset for Supervised Learning, In IEEE Intelligent Vehicles Symposium, 2008.
2. If Licensee alters the content of the Licensed Material or creates any derivative work, Licensee must include in the altered Licensed Material or derivative work prominent notices to ensure that any recipients know that they are not receiving the original Licensed Material.
3. Licensee may not use or distribute the Licensed Material or any derivative work for commercial purposes including but not limited to, licensing or selling the Licensed Material or using the Licensed Material for commercial gain.
4. The Licensed Material is provided 'AS IS', without any express or implied warranties. NICTA does not accept any responsibility for errors or omissions in the Licensed Material.
5. This original license notice must be retained in all copies or derivatives of the Licensed Material.
6. All rights not expressly granted to the Licensee are reserved by NICTA.