Omkar2118/datasets huggingface dataset:
Photi-LakeIce

A new benchmark dataset of webcam images, Photi-LakeIce, from multiple cameras and two different winters, along with pixel-wise ground truth annotations. 

Source: [Lake Ice Monitoring with Webcams and Crowd-Sourced Images](/paper/lake-ice-monitoring-with-webcams-and-crowd)

Introducing paper: Lake Ice Monitoring with Webcams and Crowd-Sourced Images
PhotoBook

A large-scale collection of visually-grounded, task-oriented dialogues in English designed to investigate shared dialogue history accumulating during conversation.

Source: [The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue](/paper/the-photobook-dataset-building-common-ground)

Introducing paper: The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue
Photographic Defect Severity

A large-scale dataset of user annotations on seven common photographic defects.

Source: [Learning to Detect Multiple Photographic Defects](/paper/learning-to-detect-multiple-photographic)

Introducing paper: Learning to Detect Multiple Photographic Defects
Photoswitch

A benchmark for molecular machine learning where improvements in model performance can be immediately observed in the throughput of promising molecules synthesized in the lab. Photoswitches are a versatile class of molecule for medical and renewable energy applications where a molecule's efficacy is governed by its electronic transition wavelengths.

Source: [The Photoswitch Dataset: A Molecular Machine Learning Benchmark for the Advancement of Synthetic Chemistry](/paper/the-photoswitch-dataset-a-molecular-machine)

Introducing paper: Data-Driven Discovery of Molecular Photoswitches with Multioutput Gaussian Processes
PhotoSynth

The **PhotoSynth** (PS) dataset for patch matching consists of a total of 30 scenes with 25 scenes for training and 5 scenes for validation. The different image pairs are captured in different illumination conditions, at different scales and with different viewpoints.

Source: [https://arxiv.org/abs/1801.01466](https://arxiv.org/abs/1801.01466)
Image Source: [https://github.com/rmitra/PS-Dataset](https://github.com/rmitra/PS-Dataset)

Introducing paper: A Large Dataset for Improving Patch Matching
PhraseCut

**PhraseCut** is a dataset consisting of 77,262 images and 345,486 phrase-region pairs. The dataset is collected on top of the Visual Genome dataset and uses the existing annotations to generate a challenging set of referring phrases for which the corresponding regions are manually annotated.

Source: [PhraseCut: Language-based Image Segmentation in the Wild](/paper/phrasecut-language-based-image-segmentation-1)
Image Source: [https://people.cs.umass.edu/~chenyun/publication/phrasecut/](https://people.cs.umass.edu/~chenyun/publication/phrasecut/)

Introducing paper: PhraseCut: Language-based Image Segmentation in the Wild