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Objekterkennung
Objekterkennung ist eine entscheidende Aufgabe im Bereich der Computer Vision, die darauf abzielt, spezifische Objekte innerhalb von Bildern zu identifizieren und zu lokalisieren. Diese Aufgabe erreicht die Klassifizierung mehrerer Objekte und die Positionierung ihrer Begrenzungsrahmen durch Algorithmen und wird in Bereichen wie autonomes Fahren, Sicherheitsüberwachung und medizinische Bildanalyse weit verbreitet eingesetzt. Sie besitzt somit erheblichen Anwendungswert und Forschungssignifikanz.
COCO test-dev
Centermask + ResNet101
COCO minival
Co-DETR
COCO-O
EVA
COCO 2017 val
Relation-DETR (Swin-L 2x)
PASCAL VOC 2007
YOLOv7+Inner-IoU
COCO 2017
retinanet
CrowdHuman (full body)
IterDet (Faster RCNN, ResNet50, 2 iterations)
CPPE-5
TridentNet
Manga109-s 15test
YOLOX-L
Waymo 2D detection all_ns f0val
YOLOX-L
PKU-DDD17-Car
CAFR
LVIS v1.0 val
Co-DETR (single-scale)
USB (Standard USB 1.0 protocol)
UniverseNet-20.08
DSEC
SFCHD
YOLOv8+SCALE
GEN1 Detection
Spiking DenseNet121-124+SSD
SeaDronesSee
Synth Pretrained Faster R-CNN ResNeXt-101-FPN
UA-DETRAC
VSTAM
MSCOCO
PP-PicoDet-L
ODinW Full-Shot 13 Tasks
Grounding DINO 1.5 Pro
UAVDT
PRB-FPN
AI-TOD
DNTR
NAO
PASCAL VOC 2012
TBBR
Swin-T (ImageNet-1k pretrain)
BigDetection val
Cascade R-CNN (R50-FPN)
EventPed
GRAZPEDWRI-DX
YOLOv8x
InOutDoor
LVIS v1.0 minival
PeopleArt
STCrowd
MMPedestron
VisDrone-DET2019
Cascade R-CNN + NWD
iSAID
PANet++
KITTI Cars Easy
KITTI Cars Hard
Waymo Open Dataset
LeapMotor_Det
India Driving Dataset
hybrid incremental net
KITTI Cars Moderate
Visual Genome
WaterScenes
YOLOv8-M
WiderPerson
IterDet (Faster RCNN, ResNet50, 2 iterations)
MS COCO
MOAT-3 22K+1K
FlickrLogos-32
Logo-Yolo
OoDIS
UGainS
VEDAI
GHOST
Drone vs Bird
IndustReal
YoloV8
Manga109
nuScenes
BIRANet(RGB+Radar)
ODinW Full-shot 35 Tasks
OpenImages-v6
PASCAL VOC 10%
DETReg (ours)
Pascal VOC to Clipart1K
MILA
SA-Det-100k
Relation-DETR (ResNet50 1x)
SIXray
Optim [39] Lpixel
SpaceNet 2
10,000 People - Human Pose Recognition Data
A Dataset of Multispectral Potato Plants Images
A2D
RL [10] Lpixel
AODRaw
Cascade RCNN (ConvNext-T, RAW pre-training)
AquaTrash
Aquavision
BDD100K
BDD100K val
hybrid incremental net
C2A: Human Detection in Disaster Scenarios
CISOL - Track A - TD-TSR
CISOL - Track B - TSR-only
CityPersons
Cityscapes to Foggy Cityscapes
Clipart1k
COCO+
RepPoints + Self-adaptation
COCO
COCO val2017
Comic2k
CrowdHuman
S-RCNN+Ours
DeepTrash
YOLOv5
Drinking Waste Classification
ELEVATER
GLIP-T
EVD4UAV
Extended TACO-1
EfficientDet-D2
Extended TACO-7
Extragalactic Planetary Nebulae
PNe within NGC1380 & NGC1404
FLIR
MiPa
GMOT-40
iGDINO MAC-SORT
GQA
KnowZRel
KITTI Cyclists Easy
KITTI Cyclists Hard
KITTI Cyclists Moderate
KITTI Pedestrians Easy
KITTI Pedestrians Hard
KITTI Pedestrians Moderate
LDD
LeukemiaAttri
LLVIP
LVIS v1.0
MJU-Waste
Multispectral Dataset
TarDAL
MUSES: MUlti-SEnsor Semantic perception dataset
Mask2Former (R50)
NII-CU MAPD
Objects365
PASCAL Part 2010 - Animals
Attention-based Joint Detection of Object and Semantic Part
PASCAL VOC
TinyissimoYOLO-v8
PASCAL VOC 2007 (15+5)
Faster R-CNN
PASCAL VOC 2012 test
SynCo (ResNet-50) 200ep
PASCAL VOC to Comic2k
CDDMSL
PASCAL VOC to Watercolor2k
PKU-DDD17-Car
STN PLAD
MS-PAD
SAR-AIRcraft-1.0
PGD-YOLOv8
SHEL5K
YOLO
Songdo Vision
Geo-trax
SpaceNet 1
YOLT
SUN-RGBD val
CDSSD
TexBiG 2022 test
TexBiG 2023 test
DetectoRS + LAEM
UAVVaste
VisDrone- 1% labeled data
VisDrone - 10% labeled data
SSOD + Crop (L + U)
VisDrone - 5% labeled data
Watercolor2k
Waymo 2D detection all_ns test
UniverseNet