Omkar2118/datasets huggingface dataset:
MFNet

The first RGB-Thermal urban scene image dataset with pixel-level annotation. We published this new RGB-Thermal semantic segmentation dataset in support of further development of autonomous vehicles in the future. This dataset contains 1569 images (820 taken at daytime and 749 taken at nighttime). Eight classes of obstacles commonly encountered during driving
(car, person, bike, curve, car stop, guardrail, color cone, and bump) are labeled in this dataset.

Introducing paper: MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes
ViNLI
Full name: Vietnamese Natural Language Inference Dataset

A large-scale and high-quality corpus is necessary for studies on NLI for Vietnamese, which can be considered a low-resource language. In this paper, we introduce ViNLI (Vietnamese Natural Language Inference), an open-domain and high-quality corpus for evaluating Vietnamese NLI models, which is created and evaluated with a strict process of quality control. ViNLI comprises over 30,000 human-annotated premise-hypothesis sentence pairs extracted from more than 800 online news articles on 13 distinct topics.

Introducing paper: ViNLI: A Vietnamese Corpus for Studies on Open-Domain Natural Language Inference