Update README.md

README.md

@@ -43,7 +43,8 @@ of optical/imaging effects on the classification ability.
 
 
 - **Curated by:** [Anne Sielemann](https://www.linkedin.com/in/anne-sielemann-23011026a/), [Stefan Wolf](https://www.linkedin.com/in/stefan-wolf-2552211a9/),
-- [Jens Ziehn](https://www.linkedin.com/in/jrziehn/), Masoud Roschani, and Juergen Beyerer. [Fraunhofer IOSB](https://www.iosb.fraunhofer.de/), Germany.
+[Jens Ziehn](https://www.linkedin.com/in/jrziehn/), Masoud Roschani, and Juergen Beyerer. [Fraunhofer IOSB](https://www.iosb.fraunhofer.de/), Germany.
+
 - **Funded by:**
   - [Fraunhofer](https://www.fraunhofer.de/en.html) Internal Programs under Grant No. PREPARE 40-02702 within the ML4Safety project
   - the [Ministry of Economic Affairs, Labour and Housing](https://wm.baden-wuerttemberg.de/) of the state of [Baden-Wuerttemberg](https://www.thelaend.de/), Germany, as part of the FeinSyn research project
@@ -81,7 +82,11 @@ The dataset is intended for the following use cases:
 
 <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
 
-[More Information Needed]
+The dataset should not be used for critical applications, particularly high-risk applications as named by the European AI Act under Annex III (which includes "AI systems intended to be used for the ‘real-time’ and ‘post’ remote biometric
+identification of natural persons" and "AI systems intended to be used as safety components in the management and operation of road traffic"), without exhaustive
+research into the fitness of the dataset, to evaluate whether it is "relevant, sufficiently representative, and to the best extent possible free of errors and complete
+in view of the intended purpose of the system." No such claim is not made with the publication of this dataset.
+
 
 ## Dataset Structure
 
@@ -204,7 +209,37 @@ The dataset contains no data that might be considered personal, sensitive, or pr
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
-[More Information Needed]
+
+- **Model variants:** Every class in the dataset contains only a single variant, while in practice, optional or retrofitted equipment such as
+sunroofs or fog lights may vary within one make/model/year class. The accuracy of the 3D models is not evaluated separately.
+Different national variants of the vehicles are not reflected in the dataset. The dataset covers European, Asian and American models,
+but has a strong focus on models and variants common in Western Europe.
+
+- **Vehicle lights:** The 3D models were not annotated for individual vehicle light functions, such that no distinction between
+daytime lights, high beam, turn indicators, etc., is made in the dataset. The lights are not triggered individually.
+
+- **License plates:** License plates are modeled as part of
+the 3D mesh and textures and are therefore fixed for each
+vehicle geometry. Some vehicles feature fixed license plate
+numbers or logos, others contain empty license plates or no
+license plates. Therefore, in the dataset without masked license
+plates, license plate appearance will be identical across cars of the same class, and shared among some different classes as well.
+
+- **Environment:** Environment variation is limited to over-
+all lighting conditions and road model and textures. No com-
+plex shadows or reflections from roadside objects, other ve-
+hicles, occlusions, environment conditions (snow, raindrops,
+fog, ...) or low light / nighttime conditions are included.
+
+- **Environment and lighting:** Available light models are currently limited
+and not calibrated. Therefore, no absolute scales are given
+and the relative vehicle light brightness (and corresponding
+effects) will be incorrect. Surface properties for physically-based rendering
+are selected qualitatively and are not based on accurate physical measurements.
+
+- **Perspective and camera:** Only frontal perspective images are included in the dataset, and only one set of intrinsic
+camera parameters is used, and only a single camera lens type (based on a Tamron M112FM35 35 mm lens) and only a very limited set of imaging artifacts are simulated.
+
 
 ### Recommendations
 
@@ -212,7 +247,10 @@ The dataset contains no data that might be considered personal, sensitive, or pr
 
 <!-- Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. -->
 
-## Citation [optional]
+It is recommended to use the dataset primarily for scientific research. Application to practical real-world use cases should include
+human oversight and the exhaustive evaluation of the fitness for the respective purpose, including the impact of domain shifts.
+
+## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->