Object Detection

Object detection identifies and locates objects within images using bounding boxes.

Syntax

AI

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from ultralytics import YOLO

model = YOLO('yolov8n.pt')
results = model('image.jpg')
results[0].show()

Bounding Box Concept

PYTHON

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# Object detection concept
def calculate_iou(box1, box2):
    x1 = max(box1[0], box2[0])
    y1 = max(box1[1], box2[1])
    x2 = min(box1[2], box2[2])
    y2 = min(box1[3], box2[3])

    intersection = max(0, x2 - x1) * max(0, y2 - y1)
    area1 = (box1[2] - box1[0]) * (box1[3] - box1[1])
    area2 = (box2[2] - box2[0]) * (box2[3] - box2[1])
    union = area1 + area2 - intersection

    return intersection / union if union > 0 else 0

box1 = [10, 10, 50, 50]  # x1, y1, x2, y2
box2 = [30, 30, 70, 70]
print(f"IoU: {calculate_iou(box1, box2):.2f}")

Try It Yourself

Practice

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Exercise

Practice this concept.

Answer

Write the code as shown above.

Quick Quiz

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What did you learn?

Concept A

Concept B

Concept C

Concept D

This covers the basics.

Retry Quiz

Interview Questions

Explain this concept.

It is a fundamental AI feature.

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