482 datasets found

A large-scale dataset for object detection in aerial images, containing 11,268 images and 1,793,658 objects.

The dataset used in the paper is the Swin-B dataset, a variant of the Swin Transformer model.

Dataset for autonomous package delivery using micro-class UAVs, consisting of 5 videos at 30 frames per second and 1100 keyframes annotated with a bounding box enclosing the...

The VisDrone-2019-DET dataset is a comprehensive benchmark facilitating the integration of drone technology and visual perception.

Keypoint-based object detection using CornerNet-Lite

The dataset used in the paper is iNaturalist-18/19, a dataset for object detection and image classification.

The dataset used in the paper is iNaturalist 2018 and iNaturalist 2019, two datasets for object detection and image classification.

The FGVC Aircraft dataset is a dataset of images of aircraft, where each image is classified into one of 100 categories.

Airplane detection dataset using drone images

The COCO 2017 validation set is used for evaluating the proposed TSP-FCOS and TSP-RCNN models.

The COCO 2017 detection benchmark dataset is used for evaluating the proposed TSP-FCOS and TSP-RCNN models.

Object detection in aerial images has greater rotational and scale variations because of the overhead image capture, which requires the detection model to more flexibly handle...

The GQA dataset is a visual question answering dataset that characterizes in compositional question answering and visual reasoning about real-world images.

The SBD dataset is a benchmark dataset for semantic segmentation and object detection.

The COCO 2017 Dataset is a large-scale benchmark dataset for object detection, semantic segmentation, and instance segmentation.

Synthetic dataset for object detection in adverse weather conditions

Real-world dataset for object detection in adverse weather conditions

YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.8% AP test-dev / 56.8% AP min-val among...

Knowledge distillation learns a lightweight student model that mimics a cumbersome teacher. Existing methods regard the knowledge as the feature of each instance or their...

The proposed method for automatically generating image masks to train Mask R-CNN for object detection.