Object Detection

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1443 papers with code • 42 benchmarks • 147 datasets

Object detection is the task of detecting instances of objects of a certain class within an image. The state-of-the-art methods can be categorized into two main types: one-stage methods and two stage-methods. One-stage methods prioritize inference speed, and example models include YOLO, SSD and RetinaNet. Two-stage methods prioritize detection accuracy, and example models include Faster R-CNN, Mask R-CNN and Cascade R-CNN.

The most popular benchmark is the MSCOCO dataset. Models are typically evaluated according to a Mean Average Precision metric.

( Image credit: Detectron )

Benchmarks

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Dataset	Best Model	Paper Title	Compare
COCO test-dev	DyHead (Swin-L, multi scale, self-training)	Dynamic Head: Unifying Object Detection Heads with Attentions	See all
COCO minival	DyHead (Swin-L, multi scale, self-training)	Dynamic Head: Unifying Object Detection Heads with Attentions	See all
PASCAL VOC 2007	Cascade Eff-B7 NAS-FPN (Copy Paste pre-training, single-scale)	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation	See all
CrowdHuman (full body)	Beta R-CNN	Beta R-CNN: Looking into Pedestrian Detection from Another Perspective	See all
Waymo 2D detection all_ns f0val	UniverseNet-20.08	USB: Universal-Scale Object Detection Benchmark	See all
Manga109-s 15test	UniverseNet-20.08	USB: Universal-Scale Object Detection Benchmark	See all
USB (Standard USB 1.0 protocol)	UniverseNet-20.08	USB: Universal-Scale Object Detection Benchmark	See all
KITTI Cars Easy	Patches	Patch Refinement -- Localized 3D Object Detection	See all
UAVDT	SpotNet	SpotNet: Self-Attention Multi-Task Network for Object Detection	See all
KITTI Cars Moderate	Patches	Patch Refinement -- Localized 3D Object Detection	See all
KITTI Cars Hard	Patches	Patch Refinement -- Localized 3D Object Detection	See all
iSAID	PANet++	iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images	See all
Waymo Open Dataset	LeapMotor_Det	2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object Detection	See all
WiderPerson	IterDet (Faster RCNN, ResNet50, 2 iterations)	IterDet: Iterative Scheme for Object Detection in Crowded Environments	See all
PASCAL VOC 2012	SSD512 (07+12+COCO)	SSD: Single Shot MultiBox Detector	See all
Visual Genome	MSDN	Scene Graph Generation from Objects, Phrases and Region Captions	See all
BDD100K	YOLOv4-CSP CD53s 512	Scaled-YOLOv4: Scaling Cross Stage Partial Network	See all
nuScenes	BIRANet(RGB+Radar)	Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles	See all
UA-DETRAC	SpotNet	SpotNet: Self-Attention Multi-Task Network for Object Detection	See all
COCO 2017	retinanet	Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection	See all
PeopleArt	Fast R-CNN (VGG16)	Detecting People in Artwork with CNNs	See all
India Driving Dataset	hybrid incremental net	On Generalizing Detection Models for Unconstrained Environments	See all
PASCAL Part 2010 - Animals	Attention-based Joint Detection of Object and Semantic Part	Attention-based Joint Detection of Object and Semantic Part	See all
SUN-RGBD val	CDSSD	How To Extract Fashion Trends From Social Media? A Robust Object Detector With Support For Unsupervised Learning	See all
DOTA	BBAVector + rh	Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors	See all
KITTI Pedestrians Easy	Vote3Deep	Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks	See all
KITTI Pedestrians Moderate	Vote3Deep	Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks	See all
KITTI Pedestrians Hard	Vote3Deep	Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks	See all
KITTI Cyclists Easy	Vote3Deep	Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks	See all
KITTI Cyclists Moderate	Vote3Deep	Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks	See all
KITTI Cyclists Hard	Vote3Deep	Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks	See all
Extragalactic Planetary Nebulae	PNe within NGC1380 & NGC1404	Fornax 3D project: automated detection of planetary nebulae in the centres of early-type galaxies and first results	See all
COCO+	RepPoints + Self-adaptation	Slender Object Detection: Diagnoses and Improvements	See all
LVIS v1.0	Eff-B7 NAS-FPN (1280, Copy-Paste pre-training))	Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation	See all
Waymo 2D detection all_ns test	UniverseNet	USB: Universal-Scale Object Detection Benchmark	See all
DeepTrash	YOLOv5	DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models	See all
MJU-Waste	EfficientDet-D2	Waste detection in Pomerania: non-profit project for detecting waste in environment	See all
UAVVaste	EfficientDet-D2	Waste detection in Pomerania: non-profit project for detecting waste in environment	See all
Extended TACO-1	EfficientDet-D2	Waste detection in Pomerania: non-profit project for detecting waste in environment	See all
Drinking Waste Classification	EfficientDet-D2	Waste detection in Pomerania: non-profit project for detecting waste in environment	See all
Extended TACO-7	EfficientDet-D2	Waste detection in Pomerania: non-profit project for detecting waste in environment	See all
DAVIS-2016	ViTAE-T-Stage	ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias	See all

Show all 42 benchmarks

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Datasets

Subtasks

RGB-D Salient Object Detection

Video Object Detection

2D Object Detection

Weakly Supervised Object Detection

Few-Shot Object Detection

Small Object Detection

Object Proposal Generation

Object Detection In Aerial Images

Video Salient Object Detection

Dense Object Detection

Head Detection

Robust Object Detection

Camouflaged Object Segmentation

Co-Salient Object Detection

One-Shot Object Detection

Zero-Shot Object Detection

Medical Object Detection

Surgical tool detection

Semantic Part Detection

Object Skeleton Detection

Multiview Detection

Multiple Affordance Detection

3D Object Detection From Monocular Images

Fish Detection

Open World Object Detection

Object Detection In Indoor Scenes

Greatest papers with code

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

tensorflow/tensorflow • • 17 Apr 2017

We present a class of efficient models called MobileNets for mobile and embedded vision applications.

Ranked #181 on Object Detection on COCO test-dev

General Classification Image Classification +1

157,746

Paper
Code

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

tensorflow/models • • CVPR 2021

By incorporating regular convolutions in the search space and directly optimizing the network architectures for object detection, we obtain a family of object detection models, MobileDets, that achieve state-of-the-art results across mobile accelerators.

Neural Architecture Search Object Detection

70,757

Paper
Code

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection

tensorflow/models • • CVPR 2020

In this paper we propose a method that leverages temporal context from the unlabeled frames of a novel camera to improve performance at that camera.

Video Object Detection Video Understanding

70,757

Paper
Code

MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices

tensorflow/models • • CVPR 2020

We propose MnasFPN, a mobile-friendly search space for the detection head, and combine it with latency-aware architecture search to produce efficient object detection models.

Ranked #174 on Object Detection on COCO test-dev

Object Detection

70,757

Paper
Code

Searching for MobileNetV3

tensorflow/models • • ICCV 2019

We achieve new state of the art results for mobile classification, detection and segmentation.

Ranked #57 on Semantic Segmentation on Cityscapes test (using extra training data)

Image Classification Neural Architecture Search +2

70,757

Paper
Code

Pooling Pyramid Network for Object Detection

tensorflow/models • • 9 Jul 2018

We share box predictors across all scales, and replace convolution between scales with max pooling.

Object Detection

70,757

Paper
Code

MobileNetV2: Inverted Residuals and Linear Bottlenecks

tensorflow/models • • CVPR 2018

In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as across a spectrum of different model sizes.

Ranked #4 on Retinal OCT Disease Classification on OCT2017

Image Classification Object Detection +3

70,757

Paper
Code

Mobile Video Object Detection with Temporally-Aware Feature Maps

tensorflow/models • • CVPR 2018

This paper introduces an online model for object detection in videos designed to run in real-time on low-powered mobile and embedded devices.

Video Object Detection

70,757

Paper
Code

Focal Loss for Dense Object Detection

tensorflow/models • • ICCV 2017

Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training.

Ranked #3 on Dense Object Detection on SKU-110K