Update README.md

README.md

@@ -1,3 +1,9 @@
+---
+license: apache-2.0
+license_link: >-
+  https://github.com/STMicroelectronics/stm32ai-modelzoo/raw/refs/heads/main/pose_estimation/LICENSE.md
+pipeline_tag: keypoint-detection
+---
 # Hand landmarks quantized
 
 ## **Use case** : `Pose estimation`
@@ -58,5 +64,4 @@ Measures are done with default STM32Cube.AI configuration with enabled input / o
 ### Reference **NPU**  inference time based on COCO Person dataset (see Accuracy for details on dataset)
 | Model  | Dataset          | Format | Resolution  | Board            | Execution Engine | Inference time (ms) | Inf / sec   | STM32Cube.AI version  |  STEdgeAI Core version |
 |--------|------------------|--------|-------------|------------------|------------------|---------------------|-------|----------------------|-------------------------|
-| [hand_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/hand_landmarks/Public_pretrainedmodel_custom_dataset/custom_dataset_hands_21kpts/hand_landmarks_full_224_int8_pc.tflite) | custom_dataset_hands_21kpts      | Int8     | 224x224x3  | STM32N6570-DK   | NPU/MCU | 20.75 | 48.19 | 10.2.0 | 2.2.0 |
-
+| [hand_landmarks](https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/main/pose_estimation/hand_landmarks/Public_pretrainedmodel_custom_dataset/custom_dataset_hands_21kpts/hand_landmarks_full_224_int8_pc.tflite) | custom_dataset_hands_21kpts      | Int8     | 224x224x3  | STM32N6570-DK   | NPU/MCU | 20.75 | 48.19 | 10.2.0 | 2.2.0 |