19,997 machine learning datasets
19,997 dataset results
Contains 6016 image-pairs from the wild, shedding light upon a rich and diverse set of criteria employed by human beings.
TriageSQL is a cross-domain text-to-SQL question intention classification benchmark that requires models to distinguish four types of unanswerable questions from answerable questions.
A novel dataset with a diverse set of sequences in different scenes for evaluating VI odometry. It provides camera images with 1024x1024 resolution at 20 Hz, high dynamic range and photometric calibration.
TuSimple Lane is an extension of the TuSimple dataset with 14,336 lane boundaries annotations. Each lane boundary in the dataset is annotated using 7 different classes such as “Single Dashed”, “Double Dashed” or “Single White Continuous”.
UAV-GESTURE is a dataset for UAV control and gesture recognition. It is an outdoor recorded video dataset for UAV commanding signals with 13 gestures suitable for basic UAV navigation and command from general aircraft handling and helicopter handling signals. It contains 119 high-definition video clips consisting of 37,151 frames.
The US-4 is a dataset of Ultrasound (US) images. It is a video-based image dataset that contains over 23,000 high-resolution images from four US video sub-datasets, where two sub-datasets are newly collected by experienced doctors for this dataset.
The Vocal Folds dataset is a dataset for automatic segmentation of laryngeal endoscopic images. The dataset consists of 8 sequences from 2 patients containing 536 hand segmented in vivo colour images of the larynx during two different resection interventions with a resolution of 512x512 pixels.
A dataset of single-sentence edits crawled from Wikipedia.
Wikipedia Title is a dataset for learning character-level compositionality from the character visual characteristics. It consists of a collection of Wikipedia titles in Chinese, Japanese or Korean labelled with the category to which the article belongs.
WikiText-TL-39 is a benchmark language modeling dataset in Filipino that has 39 million tokens in the training set.
WiLI-2018 is a benchmark dataset for monolingual written natural language identification. WiLI-2018 is a publicly available, free of charge dataset of short text extracts from Wikipedia. It contains 1000 paragraphs of 235 languages, totaling in 23500 paragraphs. WiLI is a classification dataset: Given an unknown paragraph written in one dominant language, it has to be decided which language it is.
WildLife Documentary is an animal object detection dataset. It contains 15 documentary films that are downloaded from YouTube. The videos vary between 9 minutes to as long as 50 minutes, with resolution ranging from 360p to 1080p. A unique property of this dataset is that all videos are accompanied with subtitles that are automatically generated from speech by YouTube. The subtitles are revised manually to correct obvious spelling mistakes. All the animals in the videos are annotated, resulting in more than 4098 object tracklets of 60 different visual concepts, e.g., ‘tiger’, ‘koala’, ‘langur’, and ‘ostrich’.
Youtbean is a dataset created from closed captions of YouTube product review videos. It can be used for aspect extraction and sentiment classification.
A new English language dataset structured for task-oriented evaluation on unseen tasks.
CUHK Image Cropping is a dataset for image cropping. The photos are of varying aesthetic quality and span a variety of image categories, including animal, architecture, human, landscape, night, plant and man-made objects. Each image is manually cropped by three expert photographers (graduate students in art whose primary medium is photography) to form three training sets. There are 1,000 photos in the dataset.
Social Relation Dataset is a dataset for social relation trait prediction from face images. Traits are based on the interpersonal circle proposed by Kiesler, where human relations are divided into 16 segments. Each segment has its opposite side in the circle, such as 'friendly and hostile'. The dataset contains 8,306 images chosen from the internet and movies. Each image is labelled with faces’ bounding boxes and their pairwise relations.
The SPOT dataset contains 197 reviews originating from the Yelp'13 and IMDB collections (1), annotated with segment-level polarity labels (positive/neutral/negative). Annotations have been gathered on 2 levels of granulatiry:
MaleX is a curated dataset of malware and benign Windows executable samples for malware researchers. The dataset contains 1,044,394 Windows executable binaries with 864,669 labelled as malware and 179,725 as benign. This dataset has reasonable number of samples and is sufficient to test data-driven machine learning classification methods and also to measure the performance of the designed models in terms of scalability and adaptability.
Pavia Centre is a hyperspectral dataset acquired by the ROSIS sensor during a flight campaign over Pavia, northern Italy. The number of spectral bands is 102 for Pavia Centre. Pavia Centre is a 1096*1096 pixels image. The geometric resolution is 1.3 meters. Image groundtruths differentiate 9 classes each. Pavia scenes were provided by Prof. Paolo Gamba from the Telecommunications and Remote Sensing Laboratory, Pavia university (Italy).
In The Groove (ITG) is an audio dataset where given a raw audio track, the goal is to produce a choreography step chart, similar to those used in the Dance Dance Revolution video game. It contains 133 songs choreographed by a three different authors, with 652 charts for the 133 songs.