Top-1 Accuracy: 55.59
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Sign Language Recognition
Sign Language Recognition is a computer vision and natural language processing task that involves automatically recognizing and translating sign language gestures into written or spoken language. The goal of sign language recognition is to develop algorithms that can understand and interpret sign language, enabling people who use sign language as their primary mode of communication to communicate more easily with non-signers.
<span style="color:grey; opacity: 0.6">( Image credit: Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison )</span>
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Dataset기록된 모델 예시MetricPaperCode
데이터셋
19개논문
Word Error Rate (WER): 20.4
Word Error Rate (WER): 18.8
Word Error Rate (WER): 19.4
Word Error Rate (WER): 20.2
Accuracy: 82Precision: 83Recall: 81F1-score: 80
Word Error Rate (WER): 18.3
Top-1 Accuracy: 61.17
Word Error Rate (WER): 18.7
Word Error Rate (WER): 18.9
Word Error Rate (WER): 18.4
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