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README.md

@@ -27,10 +27,10 @@ More details on model performance across various devices, can be found
 
 - **Model Type:** Object detection
 - **Model Stats:**
-  - Model checkpoint: None
-  - Input resolution: None
-  - Number of parameters: None
-  - Model size: None
+  - Model checkpoint: ResNet50
+  - Input resolution: 480x480
+  - Number of parameters: 44M
+  - Model size: 165 MB
 
 | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
 |---|---|---|---|---|---|---|---|---|
@@ -243,13 +243,13 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
 
 
 ## License
-* The license for the original implementation of Conditional-DETR-ResNet50 can be found [here](https://arxiv.org/abs/2108.06152).
+* The license for the original implementation of Conditional-DETR-ResNet50 can be found [here](https://github.com/huggingface/transformers/blob/main/LICENSE).
 * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
 
 
 
 ## References
-* [Conditional {DETR} for Fast Training Convergence](Conditional {DETR} for Fast Training Convergence)
+* [Conditional {DETR} for Fast Training Convergence](https://arxiv.org/abs/2108.06152)
 * [Source Model Implementation](https://github.com/huggingface/transformers/tree/main/src/transformers/models/conditional_detr)