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Samasource shows fashion R&D open source dataset at CVPR

19 Jun '19
2 min read
Pic: Samasource
Pic: Samasource

Samasource, a company that delivers secure, high-quality training data for artificial intelligence (AI) technologies, is currently exhibiting its free open source dataset for fashion R&D in partnership with Cornell Tech, at 30th annual Computer Vision and Pattern Recognition Conference (CVPR) in Long Beach, California, US. Samasource is present at booth #1561.
The event which started on June 16, covers every aspect of computer vision, machine learning and AI, said Samasource in a press release.
Labelled by Samasource annotators for fine-grained segmentation using Samasource's cloud annotation platform, SamaHub, the dataset facilitates significant advances in computer vision with potential for wide-reaching consumer engagement. The ability to recognise apparel products and associated attributes (for example, lace or beading) from digital photos could enhance the shopping experience and drive efficiency for retailers. The dataset will also be part of the Fine-Grained Visual Categorization workshop on June 18.
"It has been so rewarding to be a part of the tremendous growth we've seen year-after-year. It's a testament to both the momentum we've built delivering high-quality training data to businesses as well as to the enriching atmosphere we've created for employees across the globe," said Wendy Gonzalez, president and COO of Samasource. "We're looking forward to recognising these accomplishments in tandem with our presentation at CVPR 2019 as we showcase the value for consumers and enterprises in applying data annotation to AI technologies."
For over a decade, hundreds of organisations, including 25 per cent of the Fortune 50, have relied on Samasource to deliver secure, high-quality training data for the AI teams driving humanity forward. From self-driving cars to smart hardware, Samasource fuels AI with expertise in image, video and sensor data annotation and validation for machine learning algorithms. (PC)

Fibre2Fashion News Desk – India

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