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Inria Test + Ignored true positive bounding boxes
The original INRIA pedestrian Test groundtruth is problematic as not all pedestrians are labeled (mostly harder ones such as people behind glass doors, people reflections, small pedestrians or even ones that are not easily noticable by a human eye.
Algorithms that manage to detect these unlabeled pedestrians have a decreased performance with the original groundtruth.
To report the true performance, you can use the corrected groundtruth below which includes all the unlabeled pedestrians with the "ignore" label which means these detections will not count as errors.
ConvNet bounding boxes for pedestrian detection
These bounding boxes were produced by the model described in our CVPR'13 paper "Pedestrian Detection with Unsupervised Multi-Stage Feature Learning" and its supplement:
Below is a modified version of Piotr Dollar's benchmarking code (v3.0.1) available here. This modified code was used to generate plots and tables in the paper above. Full rights remain to Piotr Dollar. The modifications include: a switch to use full or partial AUC, automatic generation of a latex table of all results and some minor cosmetic tweaks.