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.
SARDet-100K
DenoDet
DroneVehicle
CeyMo
TransMind
TXL-PBC: a freely accessible labeled peripheral blood cell dataset
yolov5n
SCoralDet Dataset
MambaCoral-DiffDet
Clear Weather
HRFuser-T
Dense Fog
ExDark
MAET
RADIATE
UAVDB
YOLO11s
BDD100K val
CLCXray
LACLS
DUO
GCC-Net
ETDII Dataset
SCAResNet
FishEye8K
Yolov8x (640x640)
RadioGalaxyNET Dataset
Gal-DINO
RF100
GLIP
RTTS
WARLearn
TRR360D
rotated-retinanet-rbox-r360_r50_fpn_6x.py
UAV-PDD2023
RT-DSAFDet