️<unk>️<unk>️<unk>️  ąąąąąąąąąąąąąąąąąąą Facebook and Google have been involved in an algorithm war to come up with the perfect facial detection system.<unk> Facebook and Google have been involved in an algorithm war to come up with the perfect facial detection system. <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> ️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️ Google researchers call their system the most-accurate technology available for recognizing human faces.<unk> Google researchers call their system the most-accurate technology available for recognizing human faces. ️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> Our method uses a deep convolutional network trained to directly optimize the embedding itself, rather than an intermediate bottleneck layer as in previous deep learning approaches<unk>, say the researchers.<unk>Our method uses a deep convolutional network trained to directly optimize the embedding itself, rather than an intermediate bottleneck layer as in previous deep learning approaches<unk>, say the researchers.<unk>Our method uses a deep convolutional network trained to directly optimize the embedding itself, rather than an intermediate bottleneck layer as in previous deep learning approaches<unk>. ️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️ ️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️ On the widely used Labeled Faces in the Wild (LFW) dataset, our system achieves a new record accuracy of 99.63%. 'On the widely used Labeled Faces in the Wild (LFW) dataset, our system achieves a new record accuracy of 99.63%. On YouTube Faces DB it achieves 95.12%. ️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️ FaceNet<unk> was trained on an enormous 260-million-image dataset<unk> and performed at an 86 percent and higher accuracy rate.<unk> FaceNet<unk> was trained on an enormous 260-million-image dataset<unk> and performed at an 86 percent and higher accuracy rate. ️<unk>️<unk>️<unk>️<unk>️<unk>️<unk> ️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️<unk>️
Facebook's rival DeepFace uses technology from Israeli firm face.com. <unk> <unk> <unk> <unk> Google researchers call their system the most-accurate technology<unk> (Google researchers call their system the most-accurate technology) <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk> <unk>