Autoturk automates Amazon's Mechanical Turk for batch sending and retrieving HIT requests with .

1. Sign up for an AWS account.

2. Sign up for an MTurk Requester account.

3. Link your AWS account to your MTurk account.

4. (Optional) Sign up for a Sandbox MTurk Requester Account to test HIT requests without paying.
   Remember to link your Sandbox account to your AWS account as well.

5. Set up an IAM user for MTurk and save your access key ID and secret access key strings for later use.

6. Create a bucket on Amazon S3, upload your photos to the bucket, set your bucket access to public, and save the bucket name string for later use.

7. Open terminal and enter the following lines:

pip install boto
pip install pillow

8. Open terminal in the directory where you have placed all your photos and enter:

dir /b /a-d > image.list (for Windows, and remove "image.list" from the list)
ls > image.list (for Ubuntu)

9. Move the generated list from Step 8 to your root directory (where you saved generate.py and retrieve.py).

You can use MTurk to assign a large variety of HITs. In this section, I will go through how to set up a HIT template for drawing bounding boxes to label images, based on Kota's bbox annotator.

1. Sign in to your MTurk Requester account.

2. Click Create > New Project > Other > Create Project.

3. Fill in the required fields and click Design Layout > Source.
   I recommend setting Reward per assignment to $0.1, Number of assignments per HIT to 1, Time allotted per assignment to 1, HIT expires in to 7, Auto-approve and pay Workers in to 3, and Require that Workers be Masters to do your HITs to No.

4. Paste the code in src.html into the editor and adjust the description to your needs.

5. Click Source (again) > Save > Preview and Finish > Finish.

6. Click Create > New Batch with an Existing Project > [Your project name] and save the HITType ID and Layout ID strings for later use.

1. In generate.py, change C:/Users/David/autoturk/image.list in line 9 to the local path of your list of image filenames.
   Change drone-net of https://s3.us-east-2.amazonaws.com/drone-net/ in line 12 to your Amazon S3 bucket name where you've uploaded your images.
   Change [Your_access_key_ID] in line 14 to your access key ID.
   Change [Your_secret_access_key] in line 15 to your secret access key.
   Change drone of LayoutParameter("objects_to_find", "drone") in line 19 to your object.
   Change [Your_hit_layout] in line 22 to your HIT's Layout ID.
   Change [Your_hit_type] in line 24 to your HIT's HITType ID.
   

2. (Optional) If you are using Sandbox mode, change mechanicalturk.amazonaws.com in line 16 to http://mechanicalturk.sandbox.amazonaws.com.
   Change https://www.mturk.com/mturk/preview?groupId= in lines 30 and 31 to https://workersandbox.mturk.com/mturk/preview?groupId=.

3. If you are using the normal (non-sandbox) mode, remember to charge up your account balance.

4. Open terminal in the directory of generate.py and enter:

python generate.py

1. In retrieve.py, change C:/Users/David/autoturk/hit-id.list in line 16 to the local path of your generated list of HIT IDs.
   Change C:/Users/David/autoturk/image.list in line 17 to the local path of your list of image filenames.
   Change [Your_access_key_ID] in line 21 to your access key ID.
   Change [Your_secret_access_key] in line 22 to your secret access key.
   Change C:/Users/David/autoturk/labels/ in line 34 to the local path of the directory in which you plan to save the annotation txt files for each image.
   Change drone-net of https://s3.us-east-2.amazonaws.com/drone-net/ in line 48 to your Amazon S3 bucket name where you've uploaded your images.
   

2. (Optional) If you are using Sandbox mode, change mechanicalturk.amazonaws.com in line 23 to http://mechanicalturk.sandbox.amazonaws.com.

3. (Optional) If you would like to retrieve all annotation txt files at once without visualizing, comment out lines 48 to 61.

4. Open terminal in the directory of retrieve.py and enter:

python retrieve.py

In this section, I will go through how to convert the generated annotation txt files to the format in which you can train YOLO on.

1. Create a directory named yolo-labels to store your converted annotation files.

2. Open terminal in the directory where you placed all your labels and enter:

dir /b /a-d > labels.list (for Windows, and remove "labels.list" from the list)
ls > labels.list (for Ubuntu)

3. In format.py, change C:/Users/David/autoturk/labels/labels.list in line 4 to the local path of your list of label filenames.
   Change C:/Users/David/autoturk/images/ in line 7 to the local path of the directory who you have placed your images.
   Change C:/Users/David/autoturk/yolo-labels/ in line 11 to the local path of the directory who you will store your converted annotation files.
   Change C:/Users/David/autoturk/labels/ in line 12 to the local path of the directory who you have placed your labels.

Requester
A Requester is a company, organization, or person that creates and submits tasks (HITs) to Amazon Mechanical Turk for Workers to perform. As a Requester, you can use a software application to interact with Amazon Mechanical Turk to submit tasks, retrieve results, and perform other automated tasks. You can use the Requester website to check the status of your HITs, and manage your account.

Human Intelligence Task
A Human Intelligence Task (HIT) is a task that a Requester submits to Amazon Mechanical Turk for Workers to perform. A HIT represents a single, self-contained task, for example, "Identify the car color in the photo." Workers can find HITs listed on the Amazon Mechanical Turk website. For more information, go to the Amazon Mechanical Turk website.
Each HIT has a lifetime, specified by the Requester, that determines how long the HIT is available to Workers. A HIT also has an assignment duration, which is the amount of time a Worker has to complete a HIT after accepting it.

Worker
A Worker is a person who performs the tasks specified by a Requester in a HIT. Workers use the Amazon Mechanical Turk website to find and accept assignments, enter values into the question form, and submit the results. The Requester specifies how many Workers can work on a task. Amazon Mechanical Turk guarantees that a Worker can work on each task only one time.

Assignment An assignment specifies how many people can submit completed work for your HIT. When a Worker accepts a HIT, Amazon Mechanical Turk creates an assignment to track the work to completion. The assignment belongs exclusively to the Worker and guarantees that the Worker can submit results and be eligible for a reward until the time the HIT or assignment expires.

Reward
A reward is the money you, as a Requester, pay Workers for satisfactory work they do on your HITs.