19,997 machine learning datasets
19,997 dataset results
The iNaturalist Fine-Grained Geolocation dataset is an extension of the iNaturalist dataset with complementary geolocation information.
Simulates unanticipated user needs in the deployment stage.
The Holidays dataset is a set of images which mainly contains some of the authors' personal holidays photos. The remaining ones were taken on purpose to test the robustness to various attacks: rotations, viewpoint and illumination changes, blurring, etc. The dataset includes a very large variety of scene types (natural, man-made, water and fire effects, etc) and images are in high resolution. The dataset contains 500 image groups, each of which represents a distinct scene or object. The first image of each group is the query image and the correct retrieval results are the other images of the group.
A dataset of sentence pairs annotated following the formalization.
A benchmark for visual intuitive physics reasoning.
Comprises 192k job titles belonging to 56k LinkedIn users.
Contains 208,104 images with the same size of 1024*1024. Among them, 200,000 images (100,000 cover-stego image pairs) are divided as the training set and the remaining 8,104 as testing set.
IU ShareView dataset consists of 9 sets of two 5-10 minute first-person videos. Each set contains 3-4 participants performing a variety of everyday activities (shaking hands, chatting, eating, etc.) in one of six indoor environments.
Involves data where a robot interacts with 5.1 cm colored blocks to complete an order-fulfillment style block stacking task. It contains dynamic scenes and real time-series data in a less constrained environment than comparable datasets. There are nearly 12,000 stacking attempts and over 2 million frames of real data.
A new word analogy task dataset for Indonesian.
Two news datasets (KINNEWS and KIRNEWS) for multi-class classification of news articles in Kinyarwanda and Kirundi, two low-resource African languages. The two languages are mutually intelligible.
Explicitly created for Human Computer Interaction (HCI).
An ancestral origin database of 14,000 images of individuals from East Asia, the Indian subcontinent, sub-Saharan Africa, and Western Europe.
A corpus of 21,570 newspaper headlines written in European Spanish annotated with emergent anglicisms.
Dataset containing 9372 RGB images of weeds with the number of leaves counted. The images are collected in fields across Denmark using Nokia and Samsung cell phone cameras; Samsung, Nikon, Canon and Sony consumer cameras; and a Point Grey industrial camera.
The LEMMA dataset aims to explore the essence of complex human activities in a goal-directed, multi-agent, multi-task setting with ground-truth labels of compositional atomic-actions and their associated tasks. By quantifying the scenarios to up to two multi-step tasks with two agents, the authors strive to address human multi-task and multi-agent interactions in four scenarios: single-agent single-task (1 x 1), single-agent multi-task (1 x 2), multi-agent single-task (2 x 1), and multi-agent multi-task (2 x 2). Task instructions are only given to one agent in the 2 x 1 setting to resemble the robot-helping scenario, hoping that the learned perception models could be applied in robotic tasks (especially in HRI) in the near future.
The Lenta Short Sentences dataset is a text dataset for language modelling for the Russian language. It consists of 236K sentences sampled from the Lenta News dataset.
LISA Gaze is a dataset for driver gaze estimation comprising of 11 long drives, driven by 10 subjects in two different cars.
A synthetic dataset of procedurally generated environments, dynamically simulated crowd flows, and statically derived “proxy” crowd flows (which have more error but are more efficient to compute), for model training and evaluation.
Large Scale Informal Chinese Corpus (LSICC) is a large-scale corpus of informal Chinese. This corpus contains around 37 million book reviews and 50 thousand netizen's comments to the news.