482 datasets found

The MS COCO dataset is a task for object detection.

The Track Anything Rapter (TAR) project utilizes state-of-the-art pre-trained models to accurately detect and track target objects through multimodal queries.

Aerial object detection dataset for anchor-free oriented object detection

Masked image modeling (MIM) learns visual representation by masking and reconstructing image patches. Applying the reconstruction supervision on the CLIP representation has been...

The MS COCO 2014 Dataset contains images of 91 object categories, which contains 82783 training images, 40504 validation images and 40775 testing images.

The MS COCO detection dataset is a large-scale object detection benchmark.

Object detection is one of the most widely studied tasks in computer vision with many applications to tasks such as object tracking, instance segmentation, and image captioning.

The dataset used in the paper is the MSCOCO validation set.

iCubWorld Transformations (iCWT): a dataset for object recognition and manipulation

Open-set object detection datasets

Open-set object detection datasets

Panoptic segmentation aims to unify instance and semantic segmentation in the same framework. Existing works propose to merge instance and semantic segmentation using...

Panoptic segmentation aims to unify instance and semantic segmentation in the same framework. Existing works propose to merge instance and semantic segmentation using...

The proposed Feature-Richness Score (FRS) method to choose important features that are beneficial to distillation.

CamVid dataset is a benchmark dataset for semantic segmentation. It consists of 700 images with 11 object classes.

The Stanford Cars dataset is a dataset of images of cars, with 196 categories and approximately 16,000 images. The authors created a synthetic dataset by adding occlusions of...

TagMe is a system that provides automatic object annotation in videos using GPS data.

The existing contrastive learning methods widely adopt one-hot instance discrimination as pretext task for self-supervised learning, which inevitably neglects rich...

The Deformable DETR dataset

The DAVIS-2017 dataset is a benchmark for video object segmentation