Collect Azerbaijani Food Images
Budget / Salary$10–30
TypeFreelance project
LocationRemote
Posted7 hours ago
Summary
The purpose of this project is to collect high-quality images and videos of authentic, locally prepared dishes to support AI and machine learning development.
We are looking for people who enjoy cooking and can prepare traditional or commonly consumed dishes relevant to their country.
Project Requirements
Selected participants will be required to:
* Prepare authentic and locally relevant dishes from Azerbaijan.
* Ensure each recipe contains at least 3 ingredients.
* Prepare, weigh, and photograph each dish independently.
* Take individual photos of every ingredient, including the required on-scale and off-scale photos.
* Record the weight of each ingredient as instructed.
* Take a single-serving photograph of the completed dish.
* Record a short video of the final prepared dish.
* Follow all photography, weighing, and submission instructions provided in the project guidelines.
Important Conditions
Participants may submit multiple different dishes.
The same recipe cannot be submitted more than once by the same participant.
Each submission must be independently prepared, photographed, and documented.
Reusing images across different recipes is strictly prohibited.
Slight variations of the same dish (e.g., changing one or two ingredients and giving it a different name) will not be accepted.
All submissions will undergo quality checks (QC) and client approval.
Only submissions approved by the client will be considered eligible for payment.
Who Can Apply?
Currently based in Azerbaijan.
Have good knowledge of local cuisine and traditional dishes.
Can prepare authentic local meals themselves.
Have access to a smartphone with a good-quality camera.
Can accurately weigh ingredients and follow detailed instructions.
Are able to dedicate sufficient time to complete the required submissions.
Payment
$5.00 per approved meal.
Current need is 100+ meals.
Only submissions approved by the client will be considered eligible for payment.
We expect that each participant has a minimum of 3 submissions.
The purpose of this project is to collect high-quality images and videos of authentic, locally prepared dishes to support AI and machine learning development.
We are looking for people who enjoy cooking and can prepare traditional or commonly consumed dishes relevant to their country.
Project Requirements
Selected participants will be required to:
* Prepare authentic and locally relevant dishes from Azerbaijan.
* Ensure each recipe contains at least 3 ingredients.
* Prepare, weigh, and photograph each dish independently.
* Take individual photos of every ingredient, including the required on-scale and off-scale photos.
* Record the weight of each ingredient as instructed.
* Take a single-serving photograph of the completed dish.
* Record a short video of the final prepared dish.
* Follow all photography, weighing, and submission instructions provided in the project guidelines.
Important Conditions
Participants may submit multiple different dishes.
The same recipe cannot be submitted more than once by the same participant.
Each submission must be independently prepared, photographed, and documented.
Reusing images across different recipes is strictly prohibited.
Slight variations of the same dish (e.g., changing one or two ingredients and giving it a different name) will not be accepted.
All submissions will undergo quality checks (QC) and client approval.
Only submissions approved by the client will be considered eligible for payment.
Who Can Apply?
Currently based in Azerbaijan.
Have good knowledge of local cuisine and traditional dishes.
Can prepare authentic local meals themselves.
Have access to a smartphone with a good-quality camera.
Can accurately weigh ingredients and follow detailed instructions.
Are able to dedicate sufficient time to complete the required submissions.
Payment
$5.00 per approved meal.
Current need is 100+ meals.
Only submissions approved by the client will be considered eligible for payment.
We expect that each participant has a minimum of 3 submissions.
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