Data61 Pedestrian Dataset

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.\nLineage: Most images were captured using normal digital camera hardware in normal urban environments, in multiple cities and in different countries.\nThe 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.