482 datasets found

PASCAL 2007 dataset

ILSVRC-2012-LOC dataset

The proposed approach is demonstrated on multiple vision tasks and modalities through a variety of applications.

The dataset used in the paper is the BDD-100K dataset, a large-scale dataset for object detection tasks.

The proposed dataset collection system using a small hand–eye robot and a rotating stage.

The proposed dataset collection system using a small hand–eye robot and a rotating stage.

The proposed robotic waste-sorting system with the robust detection and agile manipulation needed for recycling factories.

Ocean eddies detection using YOLO models on SAR images

Fine-grained object recognition in remote sensing images is a challenging task. Objects have few texture features at high viewing distances, and thus it is hard to identify them.

The single-product dataset is a collection of images of products on white backgrounds, annotated with bounding boxes and category labels.

The nuScene dataset contains images and annotations of objects in the scene.

The Pascal VOC dataset is a benchmark for object detection and instance segmentation.

The authors used their own dataset for the experiments.

The WSID-100 dataset is used to train a CNN for object detection.

The VOC dataset is used to train a CNN for object detection.

The Caltech-256 object category dataset is used to train a CNN for object detection.

The dataset used in the paper is not explicitly described, but it is mentioned that it is a robotic task dataset.

Object detection using center points

The PASCAL VOC2012 dataset is a benchmark for object detection, containing 1464 images with corresponding labeled object instances for 20 classes.

The proposed approach is validated using various state-of-the-art network architectures (VGG and ResNet) on several well-known object detection benchmarks (i.e., PASCAL VOC 2007...