✨Add detailed documentation for the detection model

Author: eugene123tw

docs/source/python/descriptions/detection_model.md

@@ -1 +1,43 @@
-# Detection Model
+# Detection Model
+
+## Description
+
+Detection model aims to detect objects in an image. The model outputs a list of detected objects, each containing a bounding box, score and class label.
+
+## OpenVINO Model Specifications
+
+### Inputs
+
+A single input image of shape (H, W, 3) where H and W are the height and width of the image, respectively.
+
+
+### Outputs
+
+Detection model outputs a list of detection objects (i.e `list[Detection]`) wrapped in `DetectionResult`, each object containing the following attributes:
+
+- `score` (float) - Confidence score of the object.
+- `id` (int) - Class label of the object.
+- `str_label` (str) - String label of the object.
+- `xmin` (int) - X-coordinate of the top-left corner of the bounding box.
+- `ymin` (int) - Y-coordinate of the top-left corner of the bounding box.
+- `xmax` (int) - X-coordinate of the bottom-right corner of the bounding box.
+- `ymax` (int) - Y-coordinate of the bottom-right corner of the bounding box.
+
+## Example
+
+```python
+import cv2
+from model_api.models import SSD
+
+# Load the model
+model = SSD.create_model("model.xml")
+
+# Forward pass
+predictions = model(image)
+
+# Iterate over the segmented objects
+for pred_obj in predictions.objects:
+    pred_score = pred_obj.score
+    label_id = pred_obj.id
+    bbox = [pred_obj.xmin, pred_obj.ymin, pred_obj.xmax, pred_obj.ymax]
+```