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Automated Seed Quality Testing System using GAN & Active Learning
A dataset of 26K corn seed images, classified into pure seeds and three other defective classes (broken, silkcut, and discolored). -
Microsoft COCO Keypoints
The Microsoft COCO Keypoints dataset is a large-scale benchmark for 2D human pose estimation and tracking in images. -
Dual-Camera Smooth Zoom on Mobile Phones
The dataset is used for training and testing the proposed dual-camera smooth zoom (DCSZ) method. -
New Efficient Visual OILU Markers
The dataset is used to develop new efficient visual markers based on the OILU numbering system. -
Deep Automatic Portrait Matting
The dataset used for training and testing the proposed LSSC system, which consists of 1530 training images and 170 test images in RGB format. -
SqueezeNext dataset
The dataset used in the paper is the SqueezeNext dataset, which is a variant of the SqueezeNext model. -
ResNet18 dataset
The dataset used in the paper is the ResNet18 dataset, which is a convolutional neural network dataset. -
MobileNetV2 dataset
The dataset used in the paper is the MobileNetV2 dataset, which is a pre-trained deep neural network model. -
EfficientNet-Lite0 dataset
The dataset used in the paper is the EfficientNet-Lite0 dataset, which is a variant of the EfficientNet model. -
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy
A synthetic dataset for sceneries in the passenger compartment of ten different vehicles, to analyze machine learning-based approaches for their generalization capacities and... -
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of F...
The dataset used in the paper Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects. The dataset consists of 30 unique 3D object models... -
DTU MVS Dataset
The DTU MVS dataset contains 49 images of physical objects in real environments. -
Fishyscapes
Fishyscapes: A benchmark for safe semantic segmentation in autonomous driving with annotations for pedestrian and vehicle detection. -
MUAD: Multiple Uncertainties for Autonomous Driving
MUAD: A synthetic dataset for autonomous driving with multiple uncertainties and annotations for semantic segmentation, depth estimation, object detection, and instance... -
Faces Dataset
The dataset used in the paper for testing the GaMeS model, containing images of six people, generated using Blender software from various perspectives, excluding the backs of... -
Mip-NeRF360 dataset
The dataset used in the paper for testing the GaMeS model, containing 5 outdoor and 4 indoor scenes, each featuring intricate central objects or areas against detailed backgrounds. -
Neural 3D Mesh Renderer
The dataset used in the paper Neural 3D Mesh Renderer. The dataset consists of 3D models of objects. -
Cap3D dataset
The Cap3D dataset is a large-scale dataset of 3D models with captions. -
Objaverse-LVIS dataset
The Objaverse-LVIS dataset contains ∼ 46,000 3D models in 1,156 categories.