453 datasets found

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.

The MS COCO dataset is a task for object detection.

The Track Anything Rapter (TAR) project utilizes state-of-the-art pre-trained models to accurately detect and track target objects through multimodal queries.

Aerial object detection dataset for anchor-free oriented object detection

Masked image modeling (MIM) learns visual representation by masking and reconstructing image patches. Applying the reconstruction supervision on the CLIP representation has been...

The MS COCO 2014 Dataset contains images of 91 object categories, which contains 82783 training images, 40504 validation images and 40775 testing images.

The MS COCO detection dataset is a large-scale object detection benchmark.

Object detection is one of the most widely studied tasks in computer vision with many applications to tasks such as object tracking, instance segmentation, and image captioning.

The dataset used in the paper is the MSCOCO validation set.

iCubWorld Transformations (iCWT): a dataset for object recognition and manipulation