# How does the classification tool classify each point cloud class individually? **URL:** \ **Category:** PIX4Dmapper Questions/Troubleshooting\ **Created:** [July 8, 2018, 6:06pm UTC](https://community.pix4d.com/t/how-does-the-classification-tool-classify-each-point-cloud-class-individually/6864 "2018-07-08T18:06:32Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![Leo\_Deleon](https://avatars.discourse-cdn.com/v4/letter/l/c5a1d2/32.png) [@Leo\_Deleon](https://community.pix4d.com/u/Leo_Deleon)\ **Post date:** [July 8, 2018, 6:06pm UTC](https://community.pix4d.com/t/how-does-the-classification-tool-classify-each-point-cloud-class-individually/6864/1 "2018-07-08T18:06:32Z")
Hello, I would like some detail in regards to how the Pix4D classification process identifies and sorts features into their respective point cloud class. For example, does the classification process use only color to identify brush and grass for the High vegetation class? Does it only use height to separate perceived building features from the rest of the point cloud for the building class? Finally, does it use flat, asphalt colored features at ground level in order to identify road surface features? I read that color and geometry does help the classification process figure out what class point features will be classified as, but is there something else being done behind the scenes to help create the point features classes? Thanks, ---
**Author:** ![Blaz](https://sea2.discourse-cdn.com/pix4d/user_avatar/community.pix4d.com/blaz/32/4344_2.png) [@Blaz](https://community.pix4d.com/u/Blaz)\ **Post date:** [July 11, 2018, 7:38am UTC](https://community.pix4d.com/t/how-does-the-classification-tool-classify-each-point-cloud-class-individually/6864/2 "2018-07-11T07:38:04Z")
Hi Leo, To give more insights, both color and geometry are used when assigning points to the classes. Depending on the class, the color might have a higher weight. Keep in mind that the point classification is done based on the machine learning algorithms that were trained with real case examples and that these values change once more training datasets are added.  To get more information on this topic I recommend checking: - [Machine learning meets photogrammetry](https://pix4d.com/machine-learning-meets-photogrammetry/) - [Classification of Aerial Photogrammetric 3D Point Clouds.](https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1-W1/3/2017/isprs-annals-IV-1-W1-3-2017.pdf) - [How to generate the Point Cloud Classification](https://support.pix4d.com/hc/en-us/articles/115004864586-How-to-generate-the-Point-Cloud-Classification). Best, ---
**Author:** ![Leo\_Deleon](https://avatars.discourse-cdn.com/v4/letter/l/c5a1d2/32.png) [@Leo\_Deleon](https://community.pix4d.com/u/Leo_Deleon)\ **Post date:** [July 16, 2018, 4:07pm UTC](https://community.pix4d.com/t/how-does-the-classification-tool-classify-each-point-cloud-class-individually/6864/3 "2018-07-16T16:07:01Z")
Blaz, Thanks for the links, they were very helpful. -Leo ---
**Author:** ![sbhgurun.g](https://sea2.discourse-cdn.com/pix4d/user_avatar/community.pix4d.com/sbhgurun.g/32/2318_2.png) [@sbhgurun.g](https://community.pix4d.com/u/sbhgurun.g)\ **Post date:** [August 12, 2020, 12:11pm UTC](https://community.pix4d.com/t/how-does-the-classification-tool-classify-each-point-cloud-class-individually/6864/4 "2020-08-12T12:11:30Z")
Hi Blaz, Is there any setting in adobe lightroom so that I can enhance specific color of photo for achieving better point cloud classification? ---
**Author:** ![Rhea\_Garratt](https://sea2.discourse-cdn.com/pix4d/user_avatar/community.pix4d.com/rhea_garratt/32/403_2.png) [@Rhea\_Garratt](https://community.pix4d.com/u/Rhea_Garratt)\ **Post date:** [August 13, 2020, 7:07am UTC](https://community.pix4d.com/t/how-does-the-classification-tool-classify-each-point-cloud-class-individually/6864/5 "2020-08-13T07:07:50Z")
Hi, As far as I could tell, Adobe Lightroom is an image editor. We do not recommend editing your images with an image editor before processing them with Pix4Dmapper because: - If you change the contrast, keypoint detection and matching might not be successful during step _1. Initial Processing_. - You might lose important metadata information in the process. As a consequence, information might be missing for processing step 1 successfully. You can find more information [here](https://support.pix4d.com/hc/en-us/articles/115002439503-Inputs-and-outputs). I recommend you process your original images and activate the point cloud classification in the processing options of step 2 ([more](https://support.pix4d.com/hc/en-us/articles/202557799-Menu-Process-Processing-Options-2-Point-Cloud-and-Mesh-Point-Cloud#label5)). Then, as it is needed in most projects, edit the point cloud classification with the point cloud editing tool. More [here](https://support.pix4d.com/hc/en-us/articles/202560499). Let me know if you have any questions.