361 datasets found

KITTI tracking dataset provides 21 training and 29 test sequences. The dataset provides 2D bounding box annotations for cars, pedestrians, and 6 other classes, but only the...

Microsoft COCO 2014 and 2017 datasets for object detection, segmentation, and captioning

Pascal VOC 2007 and 2012 datasets for object detection

The Cars dataset is a multi-object multi-camera network application.

Tinyvideos dataset

The CityPersons dataset is a new pedestrian detection dataset, consisting of 500 images with annotated objects.

The Caltech dataset is a large-scale dataset for pedestrian detection, consisting of 4024 images with annotated objects.

The KITTI dataset is a large-scale dataset for autonomous driving, consisting of 15,000 images with annotated objects.

The DAVIS Challenge 2017 benchmark is a dataset for video object segmentation.

The DAVIS Challenge 2018 benchmark is a dataset for video object segmentation.

A large-scale hierarchical image database for scene recognition.

This paper proposes a dataset generation pipeline that uses physics simulation to generate images of objects in cluttered scenes.

3D X-ray microscope data for 3D object detection, segmentation, and metrology for buried structures in advanced IC packages

The RGB-D scenes dataset contains RGB-D images of indoor scenes with everyday-life objects.

The VisDrone2019 dataset contains 288 video clips made up of 261,908 frames and 10,209 images

Uni3DL is a unified model for 3D and language understanding. It operates directly on point clouds and supports diverse 3D vision-language tasks, including semantic segmentation,...

XIMAGENET-12 is an explainable visual benchmark dataset for model robustness evaluation. It consists of over 200K images with 15,410 manual semantic annotations. The dataset is...

A dataset used for training a convolutional neural network (CNN) for object detection.

A dataset used for training a recurrent neural network (RNN) to infer positional uncertainties for a model predictive control (MPC) algorithm.

The AI-TOD remote sensing dataset is used for detecting dense small objects in aerial images.