Merge branch 'fp_yolo' of github.com:fpaissan/micromind into fp_yolo

recipes/object_detection/README.md

@@ -1,6 +1,6 @@
 ## Object Detection using YOLO
 
-**[16 Dec 2024]** Added optimized YOLO neck, using XiConv. Fixed compatibility with ultralytics weights.<br />
+**[16 Jan 2024]** Added optimized YOLO neck, using XiConv. Fixed compatibility with ultralytics weights.<br />
 **[17 Dec 2023]** Add VOC dataset, selective head option, and instructions for dataset download.<br />
 **[1 Dec 2023]** Fix DDP handling and computational graph.
 
@@ -25,7 +25,7 @@ The experiment's configuration is stored inside the files in the `cfg` folder. T
 python train.py cfg/yolo_phinet.py
 ```
 
-If you want to scale the input resolution, you can simple pass override the argument from the CLI, as in:
+If you want to scale the input resolution, you can simply override the argument from the CLI, as in:
 ```
 python train.py cfg/yolo_phinet.py --input_shape 3,96,96
 ```