345 datasets found

The DAVIS dataset is a widely used dataset for video-related tasks, consisting of approximately 2000 frames from 26 human-centric scenarios.

The dataset used in the paper for image classification, object detection, and face verification tasks.

A survey of the foundations, selected improvements, and some current applications of Deep Convolutional Neural Networks (CNNs).

A dataset of textual entailment tasks, used for evaluating the ability of language models to understand relationships between texts.

The dataset used in the paper is MS COCO2017, a large-scale object detection dataset.

COCO validation dataset

YOLOX: Exceeding YOLO Series in 2021

The KITTI object detection dataset is used for evaluating the proposed method.

Few-shot segmentation aims to segment novel classes by using the model trained on base classes.

PASCAL-5i and COCO-20i are datasets used for evaluation of few-shot segmentation.

The dataset used for object detection with deep neural networks, including Kitti, Pascal VOC, and COCO datasets.

The dataset used for training and testing the proposed RGBD-based obstacle avoidance system for visually impaired people.

Instance segmentation by refining object detection with semantic and direction features.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a subset of the validation dataset used for the ImageNet Large Scale Visual...

Object detection with Unmanned Aerial Vehicles (UAVs) has attracted much attention in the research field of computer vision. However, not easy to accurately detect objects with...

The dataset used in this paper for training and testing the KAISA optimizer framework.

A new dataset for grape diseases object detection and instance segmentation.

Video object segmentation is crucial for several applications, from video editing to video data generation. Training a VOS model requires an abundance of manually labeled...

A large dataset for object detection, containing 118k training images and 5k validation images.

End-to-end Object Detection with Adaptive Clustering Transformer