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About Deep Face
This document presents DeepFace, a system that uses a deep neural network trained on a large dataset of faces to perform face verification. Key points: 1. DeepFace uses a 9-layer deep neural network with over 120 million parameters trained on 4 million facial images of over 4,000 identities, the largest facial dataset to date. 2. It combines an effective 3D-model based facial alignment system with the large training dataset to learn robust face representations that generalize well to unconstrained environments. 3. DeepFace achieves state-of-the-art accuracy on standard face verification benchmarks, reaching 97.35% accuracy on Labeled Faces in the Wild (LFW) and decreasing the
Detailed Information
| Author: | ['Hassam Ullah Sheikh'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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