fingers
Datasets
All datasets matching “fingers”asl-now-fingerspelling
ASLNow!
ASLNow! is a web app designed to make learning ASL fingerspelling easy and fun! You can try it live at asl-now.vercel.app.
Demo: https://www.youtube.com/watch?v=Wi5tAxVasq8
Dataset
This dataset, used to train the fingerspelling model is licensed under the MIT License. It will be updated frequently as more data is collected.
The dataset is collected from multiple participants told to sign ASL letters into a camera and detecting hand landmarks
using
the Mediapipe… See the full description on the dataset page: https://huggingface.co/datasets/sid220/asl-now-fingerspelling.20260725_pinch_from_bowl_with_fingers_right_onlywholebody-pose-estimation-fingerspelling
Whole-Body Pose Estimation Dataset for German Sign Language (DGS) Finger Alphabet
Dataset Description
This dataset contains 5,000 annotated images for fine-tuning whole-body pose estimation models. The images depict individuals performing signs from the German Sign Language (Deutsche Gebärdensprache) finger alphabet.
The frames were extracted and annotated from the video dataset available at:[https://huggingface.co/datasets/fhswf/dgs-pose]
Key Features… See the full description on the dataset page: https://huggingface.co/datasets/fhswf/wholebody-pose-estimation-fingerspelling.ISL-Fingerspelling
ISL Fingerspelling Dataset
First continuous fingerspelling dataset for Indian Sign Language (ISL).
Paper: "Continuous Fingerspelling Dataset for Indian Sign Language" (WSLP @ AACL-IJCNLP 2025)
Statistics
Segments
Duration
Characters
1,308
70.85 min
14,814
Structure
├── videos/ # 1308 mp4 files
├── fingerspelling_annotations.csv # Segment annotations
└── localization_timestamps.csv # Temporal localization in… See the full description on the dataset page: https://huggingface.co/datasets/salik2610/ISL-Fingerspelling.Fingerspelling_dataset
SHWASI Flex Sensor Fingerspelling Dataset
This dataset contains wearable 5-finger flex sensor recordings for fingerspelling/sign combinations, published with the SHWASI work.
What is in this repository
Format: .xlsx files (Excel), not CSV
Total files: 96
Folder structure:
MODE 1/ (32 files)
MODE 2/ (32 files)
MODE 3/ (32 files)
Each file corresponds to one encoded class/gesture entry in that mode. File names include the mode and encoded class (for example, Mode 1 -… See the full description on the dataset page: https://huggingface.co/datasets/Dharunkumar9/Fingerspelling_dataset.rtm133lifting-finetuning-signs-fingerspelling-dgs
