4.1.2. Object Detection vs. Image Classification

Concept: Two fundamentally different approaches to image understanding
Purpose: Choose the right approach for your requirement
Benefit: Accurate results with appropriate technique

Critical Distinction:

Aspect	Object Detection	Image Classification
Returns	Bounding box coordinates	Labels only
Locates objects	✅ Yes	❌ No
Multiple objects	✅ Yes, with locations	✅ Yes, as labels
Use case	"Where are the animals?"	"What's in this image?"

Visual: Object Detection vs. Classification

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Exam Alert: "Identify the location of objects" or "return coordinates" → Object Detection

from azure.ai.vision.imageanalysis import ImageAnalysisClient
from azure.ai.vision.imageanalysis.models import VisualFeatures

client = ImageAnalysisClient(endpoint, credential)

# Object detection - returns coordinates
result = client.analyze(
    image_url="https://...",
    visual_features=[VisualFeatures.OBJECTS]
)

for obj in result.objects.list:
    print(f"{obj.tags[0].name}: {obj.bounding_box}")
    # Output: "dog: {'x': 10, 'y': 20, 'width': 100, 'height': 150}"