Update README.md

README.md

@@ -71,48 +71,29 @@ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
 
-- **Finetuned from model:** [FaceTransformer](https://github.com/zhongyy/Face-Transformer)
+- **Finetuned from model:** [FaceTransformer](https://github.com/zhongyy/Face-Transformer) by [zhongyy](https://github.com/zhongyy)
 
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
+### Model Sources
 
 - **Repository:** [GitHub](github.com/martlgap/octuplet-loss)
 - **Paper:** [IEEExplore](https://ieeexplore.ieee.org/document/10042669)
 
 ## Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+Use the model to extract a facial feature vector from an arbitrary aligned facial image.
 
 ### Direct Use
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+The model can be used by within an ONNX-Runtime environment. Face must be aligned according to: 
 
-[More Information Needed]
 
-### Downstream Use [optional]
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
 [More Information Needed]
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+The model was originally trained and also finetuned on the [MS1M](https://exposing.ai/msceleb/) dataset. Thus please be check the MS1M dataset for bias and risks.
 
 ## How to Get Started with the Model
 
@@ -120,100 +101,27 @@ Use the code below to get started with the model.
 
 [More Information Needed]
 
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure 
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
 ## Evaluation
 
-<!-- This section describes the evaluation protocols and provides the results. -->
-
 ### Testing Data, Factors & Metrics
 
 #### Testing Data
 
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
+- [LFW](http://vis-www.cs.umass.edu/lfw/)
+- [CALFW](http://whdeng.cn/CALFW/)
+- [CPLFW](http://whdeng.cn/CPLFW/)
+- [MLFW](http://whdeng.cn/mlfw/)
+- [XQLFW](https://martlgap.github.io/xqlfw/)
 
 #### Metrics
 
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
+Accuracy [%]
 
 ### Results
 
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-Vision Transformer Network
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
+| [LFW](http://vis-www.cs.umass.edu/lfw/) | [CALFW](http://whdeng.cn/CALFW/) | [CPLFW](http://whdeng.cn/CPLFW/) | [MLFW](http://whdeng.cn/mlfw/) | [XQLFW](https://martlgap.github.io/xqlfw/) |
+|---|---|---|---|---|
+| 99.73 | 94.93 | 91.58 | 85.63 | 95.12 | 
 
 ## Citation
 
@@ -230,17 +138,6 @@ Vision Transformer Network
 }
 ~~~
 
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
 ## Model Card Author
 
 Martin Knoche