gesture-recognition
CN_Gesture_Recognition
Guesture Recognition 👋
A Code Network Gesture Recognition Software project implemented in Python for recognizing and classifying hand gestures using computer vision and machine learning techniques.
QUT Code Network Gesture Recognition Dataset
This dataset is used to train a gesture recognition model for a QUT Code Network project.
Guestures Recognised
Thumbs Up
Thumbs Down
Sign of the Horns (Rock Sign)
Vulcan Salute
Palm/Stop
Fist Bump
Fist (Up)
Peace
Heart… See the full description on the dataset page: https://huggingface.co/datasets/CNGR/CN_Gesture_Recognition.Diverse-hand-gesture-recognitiongesture-recognition
Gesture Recognition Dataset for computer vision tasks
Dataset consists of 10,000+ videos featuring individuals demonstrating 5 distinct hand gestures: "one," "four," "small," "fist," and "me." It helps researchers study gesture recognition, especially for sign language and gesture-controlled devices. The dataset features a wide array of individuals demonstrating gestures, which allows for the analysis of differences in hand shapes, sizes, and movements among various people.
By… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/gesture-recognition.837-People-Driver-Gesture-Recognition-Data
Description
837명의 참가자를 대상으로 다양한 연령대, 시간대 및 여러 손동작을 포함하여 수집된 운전자 손동작 인식 데이터셋입니다. 각 참가자는 주먹 쥐기, 하트 모양 만들기 등 18종의 정적 손동작과 검지 손가락 클릭, 두 손가락 클릭 등 23종의 동적 손동작을 수행했습니다. 데이터 수집에는 가시광 및 적외선 쌍안 카메라를 사용했습니다. 본 데이터셋은 운전자 모니터링, 차량 내 손동작 인식, 인간-컴퓨터 상호작용 및 운전자 지원 시스템 등의 작업에 활용할 수 있습니다.
자세한 내용은 아래 링크를 참고해 주세요: https://ko.nexdata.ai/datasets/computervision/1294?source=hf.kr
Data size
837명, 1인당 18종의 정적 손동작 및 23종의 동적 손동작 수집
Gender distribution
남성 417명, 여성 420명… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-kr/837-People-Driver-Gesture-Recognition-Data.hand-gesture-recognition-datasetThe dataset consists of videos showcasing individuals demonstrating 5 different
hand gestures (*"one", "four", "small", "fist", and "me"*). Each video captures
a person prominently displaying a single hand gesture, allowing for accurate
identification and differentiation of the gestures.
The dataset offers a diverse range of individuals performing the gestures,
enabling the exploration of variations in hand shapes, sizes, and movements
across different individuals.
The videos in the dataset are recorded in reasonable lighting conditions and
with adequate resolution, to ensure that the hand gestures can be easily
observed and studied.Hand_Gesture_Recognition_Dataset
Hand Gesture Recognition Dataset for Classroom Control
📝 Description
This dataset is designed for training and evaluating computer vision models for hand gesture recognition. It contains images of different hand gestures that can be used for smart classroom systems, human-computer interaction, and real-time gesture-based control applications.
The dataset is suitable for beginners and intermediate researchers working on convolutional neural networks (CNNs), deep learning… See the full description on the dataset page: https://huggingface.co/datasets/zaheerabbasi/Hand_Gesture_Recognition_Dataset.