How to return image with bounding box using AWS Rekognition?

When I upload image to s3 bucket and call AWS Rekognition detect_labels I am getting dictionary of detected labels like below

{'Labels': [{'Name': 'Plant', 'Confidence': 99.70314025878906, 'Instances': [], 'Parents': []}, {'Name': 'Flower', 'Confidence': 98.37027740478516, 'Instances': [], 'Parents': [{'Name': 'Plant'}]}

but here I need to return the image with bounding box where the object is identified, how this can be achieved ?

You have to use rekognition.detect_labels method to perform object detection on the images. You can then use the BoundingBox property of Labels list to get the coordinates of the bounding box, the code below can be a good start.

import boto3
import io
from PIL import Image, ImageDraw, ImageFont

file_name = 'plant.jpg'
# Get Rekognition client
rek_client = boto3.client('rekognition')
with open(file_name, 'rb') as im:
    # Read image bytes
    im_bytes = im.read()
    # Upload image to AWS 
    response = rek_client.detect_labels(Image={'Bytes': im_bytes})
    # Get default font to draw texts
    image = Image.open(io.BytesIO(im_bytes))
    font = ImageFont.truetype('arial.ttf', size=80)
    draw = ImageDraw.Draw(image)
    # Get all labels
    w, h = image.size
    for label in response['Labels']:
        name = label['Name']
        # Draw all instancex box, if any
        for instance in label['Instances']:
            bbox = instance['BoundingBox']
            x0 = int(bbox['Left'] * w) 
            y0 = int(bbox['Top'] * h)
            x1 = x0 + int(bbox['Width'] * w)
            y1 = y0 + int(bbox['Height'] * h)
            draw.rectangle([x0, y0, x1, y1], outline=(255, 0, 0), width=10)
            draw.text((x0, y1), name, font=font, fill=(255, 0, 0))

    image.save('labels.jpg')