Case Studies

Industry:

Insuretech

Service:

Data Acquisition, 

Data Annotation

Sourcing and Annotating Vehicle Damage Images for Automated Insurance Claim Validation

Challenge

The Client hired Aya Data to collect and annotate 85,000 images of damaged vehicles in West Africa.

Solutions

Aya Data employed our experienced on-the-ground data collection teams in Ghana and Sierra Leone to collect the required images.

Results

The Client was able to develop a highly accurate CV model for vehicle damage detection and classification as a result of Aya Data’s involvement.
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Industry

Insuretech

Headquarters

London, UK

Company Size

250+

Industry:

AgTech

Service:

Data Acquisition, 

Data Annotation

Sourcing and Annotating Large Volumes of Agricultural Imagery for Precision Spraying

Challenge

The computer vision model would be trained by 100,000 annotated images of various crop and weed species. The Client sought the services of Aya Data to annotate the images.

Solutions

Aya Data acquired the additional data information necessary for the project by using our web scraping team to scrape the data from the internet.

Results

Due to Aya Data’s involvement, the Client developed a highly accurate CV model for weed detection on time and 21% under budget. Farmers were able to quickly identify and address weed infestations, which resulted in reduced crop loss and a more effective way of using herbicides.
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Industry

AgTech

Headquarters

London, UK

Company Size

250+

Industry:

Manufacturing

Improving Language Model Accuracy Based on Reinforced Learning from Human Feedback

The Challenge

To get to the desired accuracy of the outputs, the language model would need to be trained/retrained based on reinforced learning from human feedback.

Solution

Aya Data engaged its in-house programmers for the coding outputs and full-time NLP experts for the written prompts and answers that were provided to us. English and other-language prompts were worked on concurrently.

The Results

The retraining of the language model based on reinforced learning from human feedback was completed one week before the deadline
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Industry

Manufacturing

Headquarters

London, UK

Company Size

250+

Industry:

Manufacturing

Collecting and Processing Data on a 3000Ha Cocoa Field for Automated Crop Monitoring

The Challenge

Traditional methods of data collection for large crop fields and the accompanying analyses are time-consuming, labor-intensive, and lack comprehensive coverage.

The Solution

Drones equipped with RGB cameras, LiDAR sensors, and multispectral sensors were to be programmed to autonomously capture high-resolution RGB imagery, LiDAR data, and multispectral data across the 3000 ha cocoa plantation area

The Results

Building and deploying machine learning models that could automatically monitor additional crop health and stress parameters are also in discussion
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Industry

Manufacturing

Headquarters

London, UK

Company Size

250+

Industry:

Manufacturing

Content Moderation For Advertising and Marketing

Challenge

A U.S. company was building a model to detect changing environmental landscapes and they needed to segment large satellite images so that their model could identify different types of land use.

Solution

Aya Data used its image segmentation experts in Ghana to accurately label 2,000 ultra-high resolution satellite images

Result

The video images labeled by Aya Data were used to accurately train a custom computer vision model to detect the changing land uses in regions of South America.
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Industry

Manufacturing

Headquarters

London, UK

Company Size

250+

Industry:

Manufacturing

Medical Imaging

Chalenge

A U.S. company was building a model to detect changing environmental landscapes and they needed to segment large satellite images so that their model could identify different types of land us

Solution

Aya Data used its image segmentation experts in Ghana to accurately label 2,000 ultra-high resolution satellite images.

Result

The video images labeled by Aya Data were used to accurately train a custom computer vision model to detect the changing land uses in regions of South America.
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Industry

Manufacturing

Headquarters

London, UK

Company Size

250+

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