Update README.md

README.md

@@ -4,4 +4,18 @@ task_categories:
 - image-classification
 size_categories:
 - 1K<n<10K
----
+---
+
+We introduce a challenging dataset for identifying machine parts from real photos,
+featuring images of 102 parts from a labeling machine. This dataset was developed
+with the complexity of real-world scenarios in mind and highlights the complexity
+of distinguishing between closely related classes, providing an opportunity to
+improve domain adaption methods. The dataset includes 3,264 CAD-rendered
+images (32 per part) and 6,146 real images (6 to 137 per part) for UDA and
+testing. Rendered images were produced using a Blender-based pipeline with
+environment maps, lights, and virtual cameras arranged to ensure varied mesh
+orientations. We also use material metadata and apply one of 21 texture materials
+to the objects. We render all images at 512x512 pixels. The real photo set consists of
+raw images captured under varying conditions using different cameras, including
+varied lighting, backgrounds, and environmental factors.
+