Omkar2118/datasets huggingface dataset:
Cell

The CELL benchmark is made of fluorescence microscopy images of cell. 

Source: [Multi-Domain Adversarial Learning](/paper/multi-domain-adversarial-learning-1)

Image Source: [https://arxiv.org/pdf/1903.09239v1.pdf](https://arxiv.org/pdf/1903.09239v1.pdf)

Introducing paper: Multi-Domain Adversarial Learning
NVGesture

The **NVGesture** dataset focuses on touchless driver controlling. It contains 1532 dynamic gestures fallen into 25 classes. It includes 1050 samples for training and 482 for testing. The videos are recorded with three modalities (RGB, depth, and infrared).

Source: [Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition](https://arxiv.org/abs/2008.09412)
Image Source: [Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network](https://paperswithcode.com/paper/online-detection-and-classification-of/)

Introducing paper: Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network