Update Readme ST Model Zoo

README.md

@@ -1,9 +1,3 @@
----
-license: other
-license_name: sla0044
-license_link: >-
-  https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/ign/ST_pretrainedmodel_public_dataset/LICENSE.md
----
 # IGN HAR model
 
 ## **Use case** : `Human activity recognition`
@@ -76,8 +70,8 @@ Dataset details: A custom dataset and not publically available, Number of classe
 
 | Model                                                                                        | Format | Resolution | Accuracy (%)|
 |:--------------------------------------------------------------------------------------------:|:------:|:----------:|:-----------:|
-| [IGN wl 24](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/ign/ST_pretrainedmodel_custom_dataset/mobility_v1/ign_wl_24/ign_wl_24.h5)          | FLOAT32| 24 x 3 x 1 | 94.64       |
-| [IGN wl 48](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/ign/ST_pretrainedmodel_custom_dataset/mobility_v1/ign_wl_48/ign_wl_48.h5)          | FLOAT32| 48 x 3 x 1 | 95.01       |
+| [IGN wl 24](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/ign/ST_pretrainedmodel_public_dataset/mobility_v1/ign_wl_24/ign_wl_24.h5)          | FLOAT32| 24 x 3 x 1 | 94.64       |
+| [IGN wl 48](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/ign/ST_pretrainedmodel_public_dataset/mobility_v1/ign_wl_48/ign_wl_48.h5)          | FLOAT32| 48 x 3 x 1 | 95.01       |
 
 Confusion matrix for IGN wl 24 with Float32 weights for mobility_v1 dataset is given below.
 
@@ -91,8 +85,8 @@ Dataset details: [link](([WISDM]("https://www.cis.fordham.edu/wisdm/dataset.php"
 
 | Model                                                                                 | Format  | Resolution |  Accuracy (%) |
 |:-------------------------------------------------------------------------------------:|:-------:|:----------:|:-------------:|
-| [IGN wl 24](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/ign/ST_pretrainedmodel_public_dataset/WISDM/ign_wl_24/ign_wl_24.h5)           | FLOAT32 | 24 x 3 x 1 | 91.7         |
-| [IGN wl 48](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/ign/ST_pretrainedmodel_public_dataset/WISDM/ign_wl_48/ign_wl_48.h5)           | FLOAT32 | 48 x 3 x 1 | 93.67          |
+| [IGN wl 24]((https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/ign/ST_pretrainedmodel_public_datase/WISDM/ign_wl_24/ign_wl_24.h5)           | FLOAT32 | 24 x 3 x 1 | 91.7         |
+| [IGN wl 48]((https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/human_activity_recognition/ign/ST_pretrainedmodel_public_datase/WISDM/ign_wl_48/ign_wl_48.h5)           | FLOAT32 | 48 x 3 x 1 | 93.67          |
 
 
 ## Retraining and Integration in a simple example:
@@ -107,5 +101,4 @@ Please refer to the stm32ai-modelzoo-services GitHub [here](https://github.com/S
 “WISDM : Human activity recognition datasets". [Online]. Available: "https://www.cis.fordham.edu/wisdm/dataset.php".
 
 <a id="2">[2]</a>
-“Real-time human activity recognition from accelerometer data using Convolutional Neural Networks, Andrey Ignatove". [Online]. Available: "https://www.sciencedirect.com/science/article/abs/pii/S1568494617305665?via%3Dihub".
-
+“Real-time human activity recognition from accelerometer data using Convolutional Neural Networks, Andrey Ignatove". [Online]. Available: "https://www.sciencedirect.com/science/article/abs/pii/S1568494617305665?via%3Dihub".