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Accurate annotation of thousands of images provides training data to power machine learning models for Swiss food waste assessment solution provider Banner

Client Profile

The Swiss company offers a state-of-the-art imaging solution that provides instant analysis of food waste. With artificial intelligence as the foundation, client leveraged food image data to raise awareness and tackle food waste for major restaurants and hotels worldwide.

Business Need .

Food waste assessment solution provider had footage of garbage throwing activity by way of camera captured images. The client was looking to identify, categorize and label thousands of food product images as a preparatory step towards its data annotation activities.

Hitech was approached to study and label customer waste and kitchen waste food images according to pre-defined food categories. The labeled images were further to be used to train client’s machine learning models to see and interpret visual information just like humans.

Challenges .

Solution .

Identified, categorized and labelled thousands of food images from across hotels and restaurants to prepare extensive training data to be fed into machine learning models.

Approach .

After initial assessment of food product images on client’s software, team of data annotators at Hitech documented a workflow to expedite image labeling. The images were annotated through a three-step process:

Technology Used:

Secure Login to Client portal through web-browser

Business Impact .

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