2D Object Detection
2D Object Detection is a core technology in the field of computer vision, aimed at accurately identifying and locating specific objects within two-dimensional images. This technology extracts object bounding boxes from images through detection algorithms to achieve classification of object categories and determination of their positions. 2D Object Detection has significant application value in areas such as autonomous driving, security monitoring, and medical image analysis, significantly enhancing the intelligence level and processing efficiency of systems.
BDD100K val
CeyMo
TransMind
CLCXray
LACLS
Clear Weather
HRFuser-T
DroneVehicle
DUO
GCC-Net
ETDII Dataset
SCAResNet
ExDark
MAET
FishEye8K
Yolov8x (640x640)
RADIATE
RadioGalaxyNET Dataset
Gal-DINO
RF100
GLIP
RTTS
WARLearn
SARDet-100K
DenoDet
SCoralDet Dataset
MambaCoral-DiffDet
Dense Fog
TRR360D
rotated-retinanet-rbox-r360_r50_fpn_6x.py
TXL-PBC: a freely accessible labeled peripheral blood cell dataset
yolov5n
UAV-PDD2023
RT-DSAFDet
UAVDB
YOLOv12x