Omkar2118/datasets huggingface dataset:
DarkTrack2021

**DarkTrack2021** is a challenging nighttime UAV tracking benchmark, which contains 110 challenging sequences with over 100 K frames in total.

Introducing paper: Tracker Meets Night: A Transformer Enhancer for UAV Tracking
ICVL-HSI

ICVL is a hyperspectral image dataset, collected by "Sparse Recovery of Hyperspectral Signal from Natural RGB Images"

The database images were acquired using a Specim PS Kappa DX4 hyperspectral camera and a rotary stage for spatial scanning. At this time it contains 200 images and will continue to grow progressively.

Images were collected at 1392×1300 spatial resolution over 519 spectral bands (400-1,000nm at roughly 1.25nm increments). The .raw files contain raw out-of-camera data in ENVI format and .hdr files contain the headers required to decode them. For your convenience, .mat files are provided, downsampled to 31 spectral channels from 400nm to 700nm at 10nm increments.

The original dataset only contains clean images. For hyperspectral image denoising benchmarks, the testing datasets come from "3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising"
MVK
Full name: Marine Video Kit

The dataset contains single-shot videos taken from moving cameras in underwater environments. The first shard of a new Marine Video Kit dataset is presented to serve for video retrieval and other computer vision challenges. In addition to basic meta-data statistics, we present several insights based on low-level features as well as semantic annotations of selected keyframes. 
1379 videos with a length from 2 s to 4.95 min, with the mean and median duration of each video is 29.9 s, and 25.4 s, respectively.
We capture data from 11 diﬀerent regions and countries during the time from 2011 to 2022.

Introducing paper: Marine Video Kit: A New Marine Video Dataset for Content-based Analysis and Retrieval
DocRED-FE
Full name: DocRED with Fine-Grained Entity Type

DocRED-FE is the DocRED with Fine-Grained Entity Type

Introducing paper: DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset
IBL-NeRF

IBL-NeRF Dataset.
Contains multi-view images with its intrinsic components.

Introducing paper: IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields
Biwi 3D Audiovisual Corpus of Affective Communication - B3D(AC)^2
Full name: BIWI 3D

**BIWI 3D** corpus comprises a total of 1109 sentences uttered by 14 native English speakers (6 males and 8 females). A real time 3D scanner and a professional microphone were used to capture the facial movements and the speech of the speakers. The dense dynamic face scans were acquired at 25 frames per second and the RMS error in the 3D reconstruction is about 0.5 mm. In order to ease automatic speech segmentation, we carried out the recordings in a anechoic room, with walls covered by sound wave-absorbing materials.

Each sentence was recorded twice:

- First, the speaker read the sentence from text, with a neutral expression.

- Then, the speaker watched a clip extracted from a feature film where the sentence is acted by professional actors and the context is highly emotional. After rating the emotions induced by the video, the speaker repeated the sentence.
OmniBlender

Synthetic omnidirectional multi-view image dataset.
Photo-realistic rendered images with Cycles engine.

Introducing paper: Balanced Spherical Grid for Egocentric View Synthesis
Ricoh360

Real-world omnidirectional multi-view image dataset.

Introducing paper: Balanced Spherical Grid for Egocentric View Synthesis
Burned Area Delineation from Satellite Imagery
Full name: A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery

The dataset contains 73 satellite images of different forests damaged by wildfires across Europe with a resolution of up to 10m per pixel. Data were collected from the Sentinel-2 L2A satellite mission and the target labels were generated from the Copernicus Emergency Management Service (EMS) annotations, with five different severity levels, ranging from undamaged to completely destroyed.
ShapeIt

The ShapeIt dataset introduced by Alper et al. (2023) consists of 109 nouns and noun phrases along with the basic shape normally associated with that item, chosen from the set {circle, rectangle, triangle}.

Introducing paper: Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding
Video Call MOS Set
Full name: Video Call MOS Set

The dataset contains 10 reference videos and 1467 degraded videos. The videos were transmitted via Microsoft Teams calls in 83 different network conditions and contain various typical videoconferencing impairments. It also includes P.910 Crowd subjective video MOS ratings (see paper for more info).

Introducing paper: LSTM-based Video Quality Prediction Accounting for Temporal Distortions in Videoconferencing Calls
PAIR-LRT-Human Dataset

**PAIR-LRT-Human Dataset** contains pairs of thermal and RGB images captured using a FLIR Lepton3.5 thermal sensor and a Raspberry Pi camera v2, respectively. The dataset includes a total of 33,228 image pairs captured under different environmental conditions, with one human occupant in a standing position and an upper-body pose. The clothing of the occupant is in one of three colors. The images have a heatmap resolution of 16 × 12 and an RGB resolution of 128 × 96, and the field of view for each image is 71◦ × 57◦. The dataset includes two persons.

Introducing paper: Privacy-Preserving Video Conferencing via Thermal-Generative Images