Powered by AI: Advancing product understanding and building new shopping experiences
Powered by AI: Advancing product understanding and building new shopping experiences Today we’re announcing: We’ve built and deployed GrokNet, a universal computer vision system designed for shopping. It can identify fine-grained product attributes across billions of photos — in different categories, such as fashion, auto, and home decor. GrokNet is powering new Marketplace features for buyers and
GitHub - lemondan/HumanParsing-Dataset
This human parsing dataset includes the detailed pixel-wise annotations for fashion images, which is proposed in our TPAMI paper "Deep Human Parsing with Active Template Regression", and ICCV 2015 paper "Human Parsing with Contextualized Convolutional Neural Network". You can download the dataset from this link. http://pan.baidu.com/s/1qY8bToS passwd：kjgk We will mainly maintain a new LIP benchmar
DeepFashion Database
News 2022-06-01 We release the DeepFashion-MultiModal dataset with rich multi-modal annotations, including manually annotated human parsing labels, manually annotated human keypoints, manually annotated fine-grained labels and textual descriptions. 2020-05-04 Parsing mask annotations and dense pose annotations have been added to “In-shop Clothes Retrieval Benchmark”. Fine-grained attribute annotat
Publications | Research
Introducing a New Way to Use Generative AI for Social Selling
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Accelerating Queries over Unstructured Data with ML, Part 4 (Accelerating Aggregation Queries with Expensive Predicates) · Stanford DAWN
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Building a deeper understanding of images
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