# HaGRIDv2: 1M Images for Static and Dynamic Hand Gesture Recognition

arXiv: https://arxiv.org/abs/2412.01508 · HTML: https://mlsanity.com/paper/2412.01508/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 18 of its 67 references that are in the map.
- First posted on arXiv 2 Dec 2024.

## Builds on (most cited first, 18 of 18)

- [Deep Residual Learning for Image Recognition](https://mlsanity.com/paper/1512.03385/) (2015)
- [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://mlsanity.com/paper/2010.11929/) (2020)
- [Microsoft COCO: Common Objects in Context](https://mlsanity.com/paper/1405.0312/) (2014)
- [LoRA: Low-Rank Adaptation of Large Language Models](https://mlsanity.com/paper/2106.09685/) (2021)
- [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://mlsanity.com/paper/2301.12597/) (2023)
- [A ConvNet for the 2020s](https://mlsanity.com/paper/2201.03545/) (2022)
- [Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset](https://mlsanity.com/paper/1705.07750/) (2017)
- [Searching for MobileNetV3](https://mlsanity.com/paper/1905.02244/) (2019)
- [TSM: Temporal Shift Module for Efficient Video Understanding](https://mlsanity.com/paper/1811.08383/) (2018)
- [YOLOv10: Real-Time End-to-End Object Detection](https://mlsanity.com/paper/2405.14458/) (2024)
- [HaGRID - HAnd Gesture Recognition Image Dataset](https://mlsanity.com/paper/2206.08219/) (2022)
- [MiVOLO: Multi-input Transformer for Age and Gender Estimation](https://mlsanity.com/paper/2307.04616/) (2023)
- [Detecting Hands and Recognizing Physical Contact in the Wild](https://mlsanity.com/paper/2010.09676/) (2020)
- [Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks](https://mlsanity.com/paper/1901.10323/) (2019)
- [IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture Recognition](https://mlsanity.com/paper/2005.02134/) (2020)
- [Contextual Attention for Hand Detection in the Wild](https://mlsanity.com/paper/1904.04882/) (2019)
- [Detector-in-Detector: Multi-Level Analysis for Human-Parts](https://mlsanity.com/paper/1902.07017/) (2019)
- [ZoomTouch: Multi-User Remote Robot Control in Zoom by DNN-based Gesture Recognition](https://mlsanity.com/paper/2011.03845/) (2020)

## Built on by (most cited first, 3 of 3)

- [EHWGesture -- A dataset for multimodal understanding of clinical gestures](https://mlsanity.com/paper/2509.07525/) (2025)
- [Efficient Sensor Fusion for Gesture Recognition on Resource-Constrained Devices](https://mlsanity.com/paper/2605.13462/) (2026)
- [Dorsal Hand Images for Immersive (XR) and Privacy-preserving Age Assurance and Child Safety](https://mlsanity.com/paper/2608.21009/) (2026)

## Abstract (arXiv)

This paper proposes the second version of the widespread Hand Gesture Recognition dataset HaGRID -- HaGRIDv2. We cover 15 new gestures with conversation and control functions, including two-handed ones. Building on the foundational concepts proposed by HaGRID's authors, we implemented the dynamic gesture recognition algorithm and further enhanced it by adding three new groups of manipulation gestures. The ``no gesture" class was diversified by adding samples of natural hand movements, which allowed us to minimize false positives by 6 times. Combining extra samples with HaGRID, the received version outperforms the original in pre-training models for gesture-related tasks. Besides, we achieved the best generalization ability among gesture and hand detection datasets. In addition, the second version enhances the quality of the gestures generated by the diffusion model. HaGRIDv2, pre-trained models, and a dynamic gesture recognition algorithm are publicly available.