Docs Colab, OBB and typos fixes (#10366)

Co-authored-by: Olivier Louvignes <olivier@mg-crea.com>
Co-authored-by: RainRat <rainrat78@yahoo.ca>

examples/YOLOv8-CPP-Inference/README.md

@@ -13,7 +13,7 @@ cd examples/YOLOv8-CPP-Inference
 # Add a **yolov8\_.onnx** and/or **yolov5\_.onnx** model(s) to the ultralytics folder.
 # Edit the **main.cpp** to change the **projectBasePath** to match your user.
 
-# Note that by default the CMake file will try and import the CUDA library to be used with the OpenCVs dnn (cuDNN) GPU Inference.
+# Note that by default the CMake file will try to import the CUDA library to be used with the OpenCVs dnn (cuDNN) GPU Inference.
 # If your OpenCV build does not use CUDA/cuDNN you can remove that import call and run the example on CPU.
 
 mkdir build

examples/YOLOv8-ONNXRuntime-Rust/src/ort_backend.rs

@@ -161,7 +161,7 @@ impl OrtBackend {
                 Ok(metadata) => match metadata.custom("task") {
                     Err(_) => panic!("Can not get custom value. Try making it explicit by `--task`"),
                     Ok(value) => match value {
-                        None => panic!("No correspoing value of `task` found in metadata. Make it explicit by `--task`"),
+                        None => panic!("No corresponding value of `task` found in metadata. Make it explicit by `--task`"),
                         Some(task) => match task.as_str() {
                             "classify" => YOLOTask::Classify,
                             "detect" => YOLOTask::Detect,

examples/YOLOv8-Region-Counter/readme.md

@@ -50,7 +50,7 @@ python yolov8_region_counter.py --source "path/to/video.mp4" --save-img --weight
 # If you want to detect specific class (first class and third class)
 python yolov8_region_counter.py --source "path/to/video.mp4" --classes 0 2 --weights "path/to/model.pt"
 
-# If you dont want to save results
+# If you don't want to save results
 python yolov8_region_counter.py --source "path/to/video.mp4" --view-img
 ```