Hello Ahmed,
Points - number of valid (used) tie points and number of total (valid + invalid) tie points of the sparse cloud.
RMS reprojection error - Root Mean Square value of normalized reprojection error (in the units of the key point scale) and it's value in pixels.
Max reprojection error - max value of reprojection error over every tie point projection in the chunk.
Mean key point size - averaged Key point size value over all key points (see more detailed description on page 57 of Metashape Pro manual):
https://www.agisoft.com/pdf/metashape-pro_1_6_en.pdfMetashape matches images on different scales to improve robustness with blurred or difficult to matchimages. The accuracy of tie point projections depends on the scale at which they were located. Metashapeuses information about scale to weight tie point reprojection errors. Key point size is the Sigma of theGaussian blur at the pyramid level of scales at which the key point was found.
Point colors - number of bands and bit depth for the sparse cloud points.
Key points - indicates whether the key points are stored in the project (Keep Key Points option should be enabled in advance if you need to store the key points data in the projects).
Average tie point multiplicity - average number of the projections for every tie point.