See the url in my comment (search for the term rfdetr-2xlarge).
2XL does indeed go up to 800x800 and has PML1.0 license instead of apache 2.0.
Rescaling is fine for some purposes but but not for all. For many domain-specific (often less common and odd dimensioned) objects, downscaling will severely reduce recall. There is a reason that Roboflow slaps a license that is not open source on those specific architectures.
“RF-DETR is both faster and more accurate and truly open source with an Apache 2.0 license”
Misleading marketing statement.
The catch is that for image resolutions >=700x700pixels (most production usecases), the roboflow license is actually PML1.0 instead of Apache2.0
https://github.com/roboflow/rf-detr#license
Rescaling is fine for some purposes but but not for all. For many domain-specific (often less common and odd dimensioned) objects, downscaling will severely reduce recall. There is a reason that Roboflow slaps a license that is not open source on those specific architectures.
In some cases tiled inferencing (for example with https://github.com/obss/sahi ) might do the job.