Handshape/hand posture datasets (not all are for sign language)

Comparison

id Name Country Classes Subjects Samples Data Type Availability
1 ASL Fingerspelling A USA 24 5 131000 2.1gb images (depth+rgb) Free download
2 ASL Fingerspelling B USA 24 9   317mb images (depth) Free download
3 LSA16 handshapes Argentina 16 10 800 7mb images (rgb) Free download
4 PSL Fingerspelling ToF Poland 16 3 960 ~290mb 3D point cloud Free download
5 ISL Irish 23 static + 3 dynamic 6 58114 frames / 468 videos 170mb segmented images Free download
6 RWTH-PHOENIX-Weather Handshapes German 60   3359 labelled + 17gb unlabeled + 17gb Hand Images (rgb) Free download
7 Japanese Fingerspelling Dataset Japan 41 10 8055 segmented images (rgb), 32x32 4.5mb Free download
8 NUS hand posture dataset I Singapore 10 ? 240 images (rgb), 160x120 3mb Free download
9 NUS hand posture dataset II Singapore 10 40 2000 images (rgb) 160x120 73mb Free download
10 CIARP - 10 ? 6000 images (rgb) 38x38 11mb Free download
11 RTWH Fingerspelling dataset Germany            
12 Indian Kinect India 140 18 5041 images (rgb+depth) 640x480 2gb Free download
13 Arabic Alphabets Sign Language Dataset (ArASL) Arabia 32 ? 54,049 images (rgb) 64mb Free download
  1. ASL Fingerspelling A
    1. Spelling It Out: Real-Time ASL Fingerspelling Recognition. 2011, Pugeault et al.
  2. ASL Fingerspelling B
    1. Spelling It Out: Real-Time ASL Fingerspelling Recognition. 2011, Pugeault et al.
    2. Recognition of Hand Gestures Observed by Depth Cameras. 2015, Kapuscinski et al.
  3. PSL Fingerspelling ToF
    1. Recognition of Hand Gestures Observed by Depth Cameras. 2015, Kapuscinski et al.
  4. LSA16 handshapes
    1. Handshape recognition for Argentinian Sign Language using ProbSom. 2016, Ronchetti et al.
    2. A Study of Convolutional Architectures for Handshape Recognition applied to Sign Language 2017, Quiroga et al.
  5. ISL Irish Sign Language Letters.
    1. A Dataset for Irish Sign Language Recognition 2017, Oliveira et al.
    2. A comparison between end-to-end approaches and feature extraction based approaches for Sign Language recognition 2017, Oliveira et al.
  6. RWTH-PHOENIX-Weather 2014 MS Handshapes
    1. Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled 2017, Koller et al.
  7. Japanese Sign Language Dataset
    1. Recognition of JSL Finger Spelling Using Convolutional Neural Networks 2017, Hosoe, Sako and Kwolek
    2. Learning Siamese Features for Finger Spelling Recognition 2017, Sako and Kwolek
  8. NUS hand posture dataset I
    1. Hand posture and face recognition using a Fuzzy-Rough Approach 2010, Pramod Kumar P, Prahlad Vadakkepat, and Loh Ai Poh
    2. Hand Posture Recognition Using Convolutional Neural Network

  9. NUS hand posture dataset II 1.Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds 2013, Pisharady et al

  10. CIARP 2017
    1. Hand Posture Recognition Using Convolutional Neural Network
  11. RTWH Fingerspelling dataset
  12. Modeling Image Variability in Appearance-Based Gesture Recognition. In ECCV Workshop on Statistical Methods in Multi-Image and Video Processing
  13. Indian Kinect github
  14. Nearest neighbour classification of Indian sign language gestures using kinect camera 2016, Ansari and Harit
  15. Arabic Alphabets Sign Language Dataset (ArASL)
  16. Arabic Alphabet and Numbers Sign Language Recognition