# 3D Object Detection on KITTI Car R40 (val) Source: [3D Object Detection on KITTI Car R40 (val)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:23:05.650Z Evaluation of 3D Object Detection performance specifically for the 'Car' category using the R40 evaluation protocol on the KITTI validation set, reporting metrics across Easy, Moderate, and Hard difficulty levels. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | 3D Object Detection | | Dataset (including any stated split) | KITTI Car R40 (val) | | Metric | AP (Easy) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 0 of 0 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [AP (Easy)](): Higher is better; unit: PERCENT. - [AP (Moderate)](): Higher is better; unit: PERCENT. - [AP (Hard)](): Higher is better; unit: PERCENT. ## Recorded results | Method | AP (Easy) | Result date | Report paper | | --- | --- | --- | --- | Page 1 of 1. This is an index page, not the full collection.