The Chinese University of Hong Kong [email protected]
Repositories
gkw0010/GTAV_Head-dataset
GTA_Head is a large-scale virtual world dataset for crowd counting and head detection, including 5096 images labeld with 1732043 head bounding boxes. The pictures and target center coordinates are taken from GCC Dataset. We provide information for each visible head, including: xmin, ymin, length and width for training and evaluation of object detection model. There are 35 scenes in the dataset, including 24 scenarios in the training set and 11 scenarios in the test set. Compared with other datasets, GTA Head provides pedestrian head annotations for a large number of complex scenes, including indoor shopping malls, subways and outdoor stadiums and squares. Our dataset follows the standard of MOTChallenge CVPR19 benchmark.
gkw0010/AIONS
Code repository of AIONS
gkw0010/SurgVidLM
gkw0010/CoPESD
CoPESD: A Multi-Level Surgical Motion Dataset for Training Large Vision-Language Models to Co-Pilot Endoscopic Submucosal Dissection
gkw0010/EndoARSS
gkw0010/EISOST-Sim2Real-Dataset-Release
gkw0010/ContinualLearning
[MICCAI 2023] Continual Learning for Abdominal Multi-Organ and Tumor Segmentation