Image Background Replacement using Amazon SageMaker Semantic Segmentation
Budget: $250 – $750 AUD
Project Overview:
We are seeking a skilled freelance developer to create a solution that leverages Amazon SageMaker semantic segmentation to replace the background of images with a primary focus on a car object. The application should be developed in PHP or Python (Lambda) to automate the process and trigger events based on image uploads to an S3 bucket.
Key Requirements:
1. Semantic Segmentation with Amazon SageMaker:
* Utilize Amazon SageMaker semantic segmentation to accurately identify and isolate the car object in the images.
* Implement a solution to replace the background while preserving the main focus on the car.
2. S3 Bucket Integration:
* Access images from an S3 bucket as the source for background replacement.
* Save the processed images with the new background back to the same S3 bucket.
3. Background Options:
* Implement the functionality to allow users to choose from a set of preset background options including 1) replace background with white, 2) blur background, 3) replace background with supplied image(s)
4. Programming Languages:
* Code the solution in either PHP or Python (Lambda) to handle the image processing and trigger events.
5. Event Trigger:
* Develop an event-triggering mechanism (AWS Lambda function) to initiate the image background replacement process upon new image uploads to the S3 bucket.
6. Data Communication:
* Ensure that the script communicates the details of the new image (e.g., filename, location, metadata) back to the main script (PHP, Python).
7. AWS SageMaker Setup Instructions:
* Include clear instructions on how to set up and configure Amazon SageMaker for semantic segmentation.
* Provide guidance on necessary AWS permissions, configurations, and any prerequisites required for the solution to function seamlessly.
Skills and Experience:
* Proven experience in image processing and manipulation.
* Familiarity with Amazon SageMaker and semantic segmentation.
* Proficiency in PHP or Python, with specific expertise in serverless computing (AWS Lambda).
* Experience with AWS S3 bucket integration and event-driven architecture.
Deliverables:
* A fully functional script/application that seamlessly replaces the background of car-focused images using Amazon SageMaker semantic segmentation.
* Documentation, including setup instructions for AWS SageMaker and any additional configurations required.
Timeline:
* ASAP.
Interested candidates are requested to provide examples of similar projects, along with a detailed proposal outlining their approach, estimated timeline, and cost.
We look forward to collaborating with a talented developer to bring this image background replacement solution to life.
We are seeking a skilled freelance developer to create a solution that leverages Amazon SageMaker semantic segmentation to replace the background of images with a primary focus on a car object. The application should be developed in PHP or Python (Lambda) to automate the process and trigger events based on image uploads to an S3 bucket.
Key Requirements:
1. Semantic Segmentation with Amazon SageMaker:
* Utilize Amazon SageMaker semantic segmentation to accurately identify and isolate the car object in the images.
* Implement a solution to replace the background while preserving the main focus on the car.
2. S3 Bucket Integration:
* Access images from an S3 bucket as the source for background replacement.
* Save the processed images with the new background back to the same S3 bucket.
3. Background Options:
* Implement the functionality to allow users to choose from a set of preset background options including 1) replace background with white, 2) blur background, 3) replace background with supplied image(s)
4. Programming Languages:
* Code the solution in either PHP or Python (Lambda) to handle the image processing and trigger events.
5. Event Trigger:
* Develop an event-triggering mechanism (AWS Lambda function) to initiate the image background replacement process upon new image uploads to the S3 bucket.
6. Data Communication:
* Ensure that the script communicates the details of the new image (e.g., filename, location, metadata) back to the main script (PHP, Python).
7. AWS SageMaker Setup Instructions:
* Include clear instructions on how to set up and configure Amazon SageMaker for semantic segmentation.
* Provide guidance on necessary AWS permissions, configurations, and any prerequisites required for the solution to function seamlessly.
Skills and Experience:
* Proven experience in image processing and manipulation.
* Familiarity with Amazon SageMaker and semantic segmentation.
* Proficiency in PHP or Python, with specific expertise in serverless computing (AWS Lambda).
* Experience with AWS S3 bucket integration and event-driven architecture.
Deliverables:
* A fully functional script/application that seamlessly replaces the background of car-focused images using Amazon SageMaker semantic segmentation.
* Documentation, including setup instructions for AWS SageMaker and any additional configurations required.
Timeline:
* ASAP.
Interested candidates are requested to provide examples of similar projects, along with a detailed proposal outlining their approach, estimated timeline, and cost.
We look forward to collaborating with a talented developer to bring this image background replacement solution to life.