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Simulated dataset
The dataset used in this paper is a simulated dataset with 200 variables and 50 observations. The variables are generated from a multivariate normal distribution with a... -
Real-world dataset
The dataset used in this paper for testing the 3D-RecGAN++ model. It contains 1.5k SV and 2.5k CV testing datasets for each of the 6 categories. -
LVIS: A dataset for segment anything model (SAM)
A dataset for segment anything model (SAM) to evaluate its performance. -
LVIS: A dataset for large vocabulary instance segmentation
LVIS: A dataset for large vocabulary instance segmentation. -
MobileSAMv2: Faster Segment Anything to Everything
Segment anything model (SAM) addresses two practical yet challenging segmentation tasks: segment anything (SegAny), which utilizes a certain point to predict the mask for a... -
Authors' Own Dataset
The authors' own dataset is used for object detection in thermal images. -
DOTA dataset
DOTA dataset is a large-scale dataset for object detection in aerial images including 2806 aerial images with each image ranging from 800 × 800 to 4000 × 4000 pixels collected... -
DAVIS-2016
Video object segmentation is a fundamental task in many important areas such as autonomous driving, robotic manipulation, video surveillance, and video editing. -
Caltech-UCSD-Birds-200-2011
The Caltech-UCSD-Birds-200-2011 dataset contains images of 200 bird species. -
Lebanese Road Pothole Detection Dataset
The dataset used for pothole detection using deep learning -
Pothole Detection Dataset
A dataset of images with pothole annotations from various sources, including Google Earth Pro, AUTOPILOT videos, and GoPro camera images. -
ImageNet-Dogs
The dataset used in the paper for image classification, object detection, and face verification tasks. -
TDT4173 - Method Paper
A survey of the foundations, selected improvements, and some current applications of Deep Convolutional Neural Networks (CNNs).