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YOLOv4: Optimal speed and accuracy of object detection
YOLOv4 dataset contains object detection tasks. -
Object detection in 20 years: A survey
Object detection in 20 years: A survey dataset contains object detection tasks. -
Training dataset generation for bridge game registration
The proposed method of automatic dataset generation for cards detection and classification makes it possible to obtain any number of images of any size, which can be used to... -
ImageNet2012
The dataset used in the paper for attention-oriented data analysis and attention-based adversarial defense. -
ACFR Apple Dataset
The ACFR Apple dataset is used for object detection tasks. -
Mask-guided Vision Transformer for Few-Shot Learning
The proposed MG-ViT model is used for few-shot learning on the Agri-ImageNet and ACFR apple detection tasks. -
Fast R-CNN
Fast R-CNN is a clean and fast update to R-CNN and SPPnet. It uses a single-stage training algorithm that jointly learns to classify object proposals and refine their spatial... -
CornerNet: Detecting Objects as Paired Keypoints
CornerNet detects objects as a pair of keypoints— the top-left corner and bottom-right corner of the bounding box. -
Cats and Dogs
This dataset contains images of cats and dogs, which is used for training deep neural networks. -
The inaturalist species classification and detection dataset
The inaturalist species classification and detection dataset. -
Behave dataset
The Behave dataset contains various scenes with human-object interactions, and is used to evaluate the proposed object-level 3D semantic mapping approach. -
MS-COCO 2017 dataset
MS-COCO 2017 dataset is used for evaluating the performance of object detection models. -
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors
G-CAME is a method to explain object detection models using Gaussian Class Activation Mapping Explainer. -
T-Less dataset
The T-Less dataset is used for testing the class-adaptive object detector. It contains 15 objects with a large number of occurrences. -
HomeBrew dataset
The HomeBrew dataset is used for testing the class-adaptive object detector. It contains 30 objects with a large number of occurrences. -
YCB-V dataset
The YCB-V dataset is used for testing the class-adaptive object detector. It contains 33 objects with a large number of occurrences. -
FewSol dataset
The FewSol dataset is used for training the class-adaptive object detector. It contains 666 objects with a large number of occurrences. -
DoPose and HOPE datasets
The DoPose and HOPE datasets are used for testing the class-adaptive object detector. The DoPose dataset contains 18 objects with distinctive shapes and colors, while the HOPE... -
Selective Search for Object Recognition
Selective search is a method for object detection. -
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Deeply Supervised Object Detector (DSOD) is a framework that can learn object detectors from scratch.
