361 datasets found

The MSCOCO dataset is a large-scale image captioning dataset, containing 113,287 images with 5,000 validation images and 5,000 test images. The dataset is used for training and...

ProgS-RCNN: Progressive End-to-End Object Detection in Crowded Scenes

Crowded object detection via copy-paste

CrowdHuman is a challenging benchmark to evaluate the ability of crowded scene detection of detectors, which contains about 15k training images and 4k images for evaluation.

Many Multi-Object Tracking (MOT) approaches exploit motion information to associate all the detected objects across frames. However, many methods that rely on filtering-based...

The VGG-16 dataset is a large collection of images of objects.

Aerial imagery [2], derived from various sources such as drones, satellites, and high-altitude platforms, plays a pivotal role in numerous real-world applications. One of the...

The COCO test-dev dataset is used for instance segmentation. It contains 20k test-dev images.

ILSVRC is a large-scale image dataset containing over 1.2 million images across 1,000 classes.

PASCAL VOC 2007 dataset is a widely used dataset for object detection and semantic segmentation. We use all the split sets (training, validation, testing) in the VOC2007 dataset...

The UBnormal dataset is a recent and large dataset proposed for supervised anomaly detection. In contrast to other benchmarks, it is a synthetic dataset created with Cinema4D....

The Avenue data set consists of 16 training videos with a total 15328 frames and 21 test videos with a total of 15324.

The Objects365 dataset is a large-scale object detection dataset containing 365,000 images with 365 categories.

SODA10M contains 10M un-labeled images and 20K labeled images of size 1920 × 1080 with default format of JPEG.

The CODA dataset is a real-world road corner case dataset for object detection in autonomous driving.

The LabelMe dataset is a natural scene dataset used for testing the performance of the IBTM model on image classification tasks.

The dataset used in the paper for semi-supervised object detection tasks.

The dataset used in the paper for semi-supervised object detection tasks.

The dataset used in the paper for semi-supervised object detection tasks.

A video dataset for frame duplication detection and localization in forged videos