Datasets › COCO (Common Objects in Context)

COCO (Common Objects in Context)

1 Jan 2014 archive 2025-07-28

The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset. It is designed to encourage research on a wide variety of object categories and is commonly used for benchmarking computer vision models. It is an essential dataset for researchers and developers working on object detection, segmentation, and pose estimation tasks.

Benchmarks archive 2025-07-28

All 77 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Object Detection COCO test-dev Co-DETR box mAP 66.0 DETRs with Collaborative Hybrid Assignments Training open-mmlab/mmdetection +5 225 Compare
Object Detection COCO minival PE_spatial (DETA) box AP 66.0 Perception Encoder: The best visual embeddings are not... facebookresearch/perception_models 220 Compare
Instance Segmentation COCO test-dev Co-DETR mask AP 57.1 DETRs with Collaborative Hybrid Assignments Training open-mmlab/mmdetection +5 112 Compare
Instance Segmentation COCO minival Co-DETR mask AP 56.6 DETRs with Collaborative Hybrid Assignments Training open-mmlab/mmdetection +5 93 Compare
Real-Time Object Detection COCO (Common Objects in Context) DEIM-D-FINE-X+ box AP 59.5 DEIM: DETR with Improved Matching for Fast Convergence shihuahuang95/deim 82 Compare
Text-to-Image Generation COCO (Common Objects in Context) RAT-Diffusion FID 5.00 Data Extrapolation for Text-to-image Generation on Small Datasets senmaoy/RAT-Diffusion 69 Compare
Pose Estimation COCO test-dev ViTPose (ViTAE-G, ensemble) AP 81.1 ViTPose: Simple Vision Transformer Baselines for Human... huggingface/transformers +5 47 Compare
Panoptic Segmentation COCO test-dev Mask DINO (single scale) PQ 59.5 Mask DINO: Towards A Unified Transformer-based Framework... PaddlePaddle/PaddleDetection +9 38 Compare
Cross-Modal Retrieval COCO 2014 VAST Text-to-image R@1 68.0 VAST: A Vision-Audio-Subtitle-Text Omni-Modality... TXH-mercury/VALOR +1 36 Compare
Multi-Label Classification MS-COCO ADDS(ViT-L-336, resolution 1344) mAP 93.54 Open Vocabulary Multi-Label Classification with... — 34 Compare
Few-Shot Object Detection MS-COCO (10-shot) Training-free AP 36.6 No time to train! Training-Free Reference-Based Instance... miquel-espinosa/no-time-to-train +1 33 Compare
Panoptic Segmentation COCO minival HyperSeg (Swin-B) PQ 61.2 HyperSeg: Towards Universal Visual Segmentation with... congvvc/HyperSeg 31 Compare
Keypoint Detection COCO (Common Objects in Context) 4xRSN-50(384×288) Test AP 78.6 Learning Delicate Local Representations for Multi-Person... open-mmlab/mmpose +3 24 Compare
Object Detection COCO 2017 MaxViT-B AP 53.4 MaxViT: Multi-Axis Vision Transformer huggingface/pytorch-image-models +14 24 Compare
Zero-Shot Cross-Modal Retrieval COCO 2014 InternVL-G Image-to-text R@1 74.9 InternVL: Scaling up Vision Foundation Models and... opengvlab/internvl +1 18 Compare
Image Captioning COCO (Common Objects in Context) ExpansionNet v2 CIDEr 143.7 Exploiting Multiple Sequence Lengths in Fast End to End... jchenghu/expansionnet_v2 17 Compare
Keypoint Detection COCO test-dev HRNet* APM 73.4 Deep High-Resolution Representation Learning for Human... open-mmlab/mmdetection +38 16 Compare
Multi-Person Pose Estimation COCO (Common Objects in Context) RSN AP 0.792 Learning Delicate Local Representations for Multi-Person... open-mmlab/mmpose +3 15 Compare
Multi-Person Pose Estimation COCO test-dev SCIO (HRNet-48) AP 79.2 Self-Constrained Inference Optimization on Structural... — 15 Compare
Visual Question Answering (VQA) COCO Visual Question Answering (VQA) real images 1.0 open ended MCB 7 att. Percentage correct 66.5 Multimodal Compact Bilinear Pooling for Visual Question... Cadene/vqa.pytorch +9 14 Compare
Pose Estimation COCO (Common Objects in Context) OmniPose (WASPv2) AP 79.5 OmniPose: A Multi-Scale Framework for Multi-Person Pose... bmartacho/OmniPose 10 Compare
Single-object discovery COCO_20k IMST CorLoc 72.2 K-means for unsupervised instance segmentation using a... — 10 Compare
Visual Question Answering (VQA) COCO Visual Question Answering (VQA) real images 1.0 multiple choice MCB 7 att. Percentage correct 70.1 Multimodal Compact Bilinear Pooling for Visual Question... Cadene/vqa.pytorch +9 10 Compare
Zero-Shot Composed Image Retrieval (ZS-CIR) COCO (Common Objects in Context) iSEARLE-XL-OTI (CLIP L/14) Actions Recall@5 32.55 iSEARLE: Improving Textual Inversion for Zero-Shot... miccunifi/searle +1 10 Compare
Image-to-Text Retrieval COCO (Common Objects in Context) BLIP-2 (ViT-G, fine-tuned) Recall@1 85.4 BLIP-2: Bootstrapping Language-Image Pre-training with... huggingface/transformers +16 9 Compare
Semantic Segmentation COCO (Common Objects in Context) HyperSeg mIoU 77.2 HyperSeg: Towards Universal Visual Segmentation with... congvvc/HyperSeg 9 Compare
Zero-Shot Object Detection MS-COCO UniFa mAP 26.00 UniFa: A unified feature hallucination framework for... — 9 Compare
Keypoint Detection COCO test-challenge 4×RSN-50 AR 82.6 Learning Delicate Local Representations for Multi-Person... open-mmlab/mmpose +3 8 Compare
Box-supervised Instance Segmentation COCO test-dev Box2Mask-T mask AP 42.4 Box2Mask: Box-supervised Instance Segmentation via... LiWentomng/BoxInstSeg +1 7 Compare
Image-level Supervised Instance Segmentation COCO test-dev WeakSAM-Mask2Former (with SAM) AP 25.9 WeakSAM: Segment Anything Meets Weakly-supervised... hustvl/weaksam 7 Compare
Object Counting COCO count-test ens m-reIRMSE 0.18 Counting Everyday Objects in Everyday Scenes prithv1/cvpr2017_counting 7 Compare
Weakly-supervised instance segmentation COCO test-dev DiscoBox (ResNeXt-101-DCN-FPN) AP 37.9 DiscoBox: Weakly Supervised Instance Segmentation and... NVlabs/DiscoBox +2 7 Compare
Image Retrieval COCO (Common Objects in Context) BLIP-2 ViT-G (fine-tuned) recall@1 68.3 BLIP-2: Bootstrapping Language-Image Pre-training with... huggingface/transformers +16 6 Compare
Unsupervised Semantic Segmentation COCO-Stuff-3 SAN Pixel Accuracy 80.3 Rethinking Alignment and Uniformity in Unsupervised... — 6 Compare
Layout-to-Image Generation COCO-Stuff 256x256 LayoutDiffusion (25steps) FID 31.68 LayoutDiffusion: Controllable Diffusion Model for... zgctroy/layoutdiffusion +1 5 Compare
Weakly Supervised Object Detection COCO (Common Objects in Context) MSLPD MAP 56.6 Few-Example Object Detection with Model Communication D-X-Y/DXY-Projects 5 Compare
Knowledge Distillation COCO (Common Objects in Context) ADLIK-Faster (T: Faster R-CNN vit-base S: Faster R-CNN deit-small) box AP 47.6 Focal and Global Knowledge Distillation for Detectors yzd-v/FGD 4 Compare
Multi-Person Pose Estimation COCO minival HRNet-W48plus AP 79.1 AID: Pushing the Performance Boundary of Human Pose... open-mmlab/mmpose +1 4 Compare
One-Shot Object Detection COCO (Common Objects in Context) OWL-ViT (R50+H/32) AP 0.5 41.8 Simple Open-Vocabulary Object Detection with Vision Transformers google-research/scenic +1 4 Compare
Question Generation COCO Visual Question Answering (VQA) real images 1.0 open ended MDN BLEU-1 65.1 Multimodal Differential Network for Visual Question Generation badripatro/MDN-VQG 4 Compare
Visual Question Answering (VQA) COCO Visual Question Answering (VQA) real images 2.0 open ended HDU-USYD-UNCC Percentage correct 68.16 VQA: Visual Question Answering ramprs/grad-cam +20 4 Compare
Visual Question Answering (VQA) COCO Visual Question Answering (VQA) abstract images 1.0 open ended Graph VQA Percentage correct 70.42 Graph-Structured Representations for Visual Question Answering — 4 Compare
Visual Question Answering (VQA) COCO Visual Question Answering (VQA) abstract 1.0 multiple choice Graph VQA Percentage correct 74.37 Graph-Structured Representations for Visual Question Answering — 4 Compare
Weakly Supervised Object Detection COCO test-dev wetectron(single-model, VGG16) AP50 24.8 Instance-aware, Context-focused, and Memory-efficient... NVlabs/wetectron +1 4 Compare
Object Detection COCO (Common Objects in Context) MOAT-3 22K+1K box AP 59.2 MOAT: Alternating Mobile Convolution and Attention... google-research/deeplab2 +1 3 Compare
Conditional Image Generation COCO-Animals U-Net GAN FID 13.73 A U-Net Based Discriminator for Generative Adversarial Networks boschresearch/unetgan +2 2 Compare
Cross-Modal Retrieval MSCOCO-1k NAPReg Image-to-text R@1 81.9 NAPReg: Nouns As Proxies Regularization for Semantically... bhavinjawade/NAPReq 2 Compare
Open World Object Detection COCO 2017 (Outdoor, Accessories, Appliance, Truck) ORE (MDef-DETR) Unknown Recall 49.54 Class-agnostic Object Detection with Multi-modal Transformer mmaaz60/mvits_for_class_agnostic_od 2 Compare
Open World Object Detection COCO 2017 (Sports, Food) ORE (MDef-DETR) Unknown Recall 50.89 Class-agnostic Object Detection with Multi-modal Transformer mmaaz60/mvits_for_class_agnostic_od 2 Compare
Open World Object Detection COCO 2017 (Electronic, Indoor, Kitchen, Furniture) ORE (MDef-DETR) MAP 31.66 Class-agnostic Object Detection with Multi-modal Transformer mmaaz60/mvits_for_class_agnostic_od 2 Compare
Panoptic Segmentation COCO panoptic VAN-B6* PQ 58.2 Visual Attention Network huggingface/transformers +20 2 Compare
Robust Object Detection COCO (Common Objects in Context) Faster R-CNN with Stylized Training Data mPC [AP] 20.4 Benchmarking Robustness in Object Detection: Autonomous... bethgelab/imagecorruptions +3 2 Compare
Text-to-Image Generation MS-COCO AttnGAN Inception score 25.89 AttnGAN: Fine-Grained Text to Image Generation with... taoxugit/AttnGAN +19 2 Compare
Active Object Detection COCO (Common Objects in Context) RetinaNet AP (7.3, 13.8, 16.9, 19.1, 20.8) on 2% ~ 10% Multiple instance active learning for object detection yuantn/MI-AOD 1 Compare
Activeness Detection COCO test-dev Lightweight OpenPose Accuracy (%) 76.67 ActiveNet: A computer-vision based approach to determine lethargy aaditagarwal/ActiveNet 1 Compare
Few-Shot Object Detection COCO 2017 DETReg (ours) AP 30 DETReg: Unsupervised Pretraining with Region Priors for... amirbar/detreg 1 Compare
Homography Estimation COCO 2014 PFNet MACE 0.92 Rethinking Planar Homography Estimation Using Perspective Fields ruizengalways/PFNet 1 Compare
Image Captioning MS-COCO NeuSyRE BLEU-1 79.1 NeuSyRE: Neuro-Symbolic Visual Understanding and... jaleedkhan/neusire 1 Compare
Instance Segmentation coco minval R3-CNN (ResNet-50-FPN, GC-Net) APL 56 Recursively Refined R-CNN: Instance Segmentation with... IMPLabUniPr/mmdetection 1 Compare
Interactive Segmentation COCO (Common Objects in Context) IOG Instance Average IoU 85.2 Interactive Object Segmentation With Inside-Outside Guidance shiyinzhang/Inside-Outside-Guidance +1 1 Compare
Interactive Segmentation COCO minival ViT-B+MST+CL NoC@85 2.08 MST: Adaptive Multi-Scale Tokens Guided Interactive Segmentation hahamyt/mst 1 Compare
Multi-Label Learning COCO 2014 SADCL CF1 79.8 Semantic-Aware Dual Contrastive Learning for Multi-label... yu-gi-oh-leilei/sadcl 1 Compare
Multi-object discovery COCO_20k Large-scale rOSD Detection Rate 12.0 Toward unsupervised, multi-object discovery in... huyvvo/rOSD 1 Compare
Object Detection COCO+ RepPoints + Self-adaptation mAR (COCO+ XS) 28.4 Slender Object Detection: Diagnoses and Improvements wanzysky/SlenderObjDet 1 Compare
Object Proposal Generation COCO (Common Objects in Context) MDef-DETR (Off-the-shelf evaluation) Average Recall 0.6503 Class-agnostic Object Detection with Multi-modal Transformer mmaaz60/mvits_for_class_agnostic_od 1 Compare
One-Shot Instance Segmentation COCO (Common Objects in Context) Siamese Mask R-CNN AP 0.5 14.5 One-Shot Instance Segmentation bethgelab/siamese-mask-rcnn +2 1 Compare
Point-Supervised Instance Segmentation COCO test-dev BESTIE (proposal-free) AP 17.8 Beyond Semantic to Instance Segmentation:... clovaai/BESTIE 1 Compare
Pose Estimation COCO minival MSPN AP 75.9 Rethinking on Multi-Stage Networks for Human Pose Estimation open-mmlab/mmpose +6 1 Compare
Pose Estimation MS-COCO UniHCP (finetune) AP 76.5 UniHCP: A Unified Model for Human-Centric Perceptions opengvlab/unihcp 1 Compare
Quantization COCO (Common Objects in Context) SSD ResNet50 V1 FPN 640x640 MAP 34.3 HPTQ: Hardware-Friendly Post Training Quantization sony/model_optimization 1 Compare
Question Answering COCO Visual Question Answering (VQA) real images 1.0 open ended MaMMUT (2B) Test 80.8 MaMMUT: A Simple Architecture for Joint Learning for... lucidrains/mammut-pytorch 1 Compare
Real-time Instance Segmentation MSCOCO-1k RTMDet-Ins-x APM 49.0 RTMDet: An Empirical Study of Designing Real-Time Object... open-mmlab/mmdetection +13 1 Compare
Scene Graph Generation MS-COCO NeuSyRE R@100 38.5 NeuSyRE: Neuro-Symbolic Visual Understanding and... jaleedkhan/neusire 1 Compare
Semi Supervised Learning for Image Captioning COCO (Common Objects in Context) Perturb, Predict & Paraphrase CIDEr 84.5 Perturb, Predict & Paraphrase: Semi-Supervised Learning... csalt-research/perturb-predict-paraphrase 1 Compare
Unsupervised Object Localization COCO_20k DeepCut CorLoc 61.6 DeepCut: Unsupervised Segmentation using Graph Neural... sampl-weizmann/deepcut 1 Compare
Unsupervised Semantic Segmentation with Language-image Pre-training COCO (Common Objects in Context) CLIPpy ViT-B Mean IoU (val) 25.5 Perceptual Grouping in Contrastive Vision-Language Models kahnchana/clippy +1 1 Compare
Visual Question Answering COCO Visual Question Answering (VQA) real images 2.0 open ended MaMMUT (2B) Percentage correct 80.7 MaMMUT: A Simple Architecture for Joint Learning for... lucidrains/mammut-pytorch 1 Compare

Papers archive 2025-07-28

30 shown of 579 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 11,922. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
No time to train! Training-Free Reference-Based Instance Segmentation 2 1 3 Jul 2025 not harvested
The Missing Point in Vision Transformers for Universal Image Segmentation 1 2 26 May 2025 not harvested
PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation 1 1 23 May 2025 not harvested
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation 1 1 20 May 2025 ran 4 of 7 samples (3 unverified)
Perception Encoder: The best visual embeddings are not at the output of the network 1 1 17 Apr 2025 ran 12 of 18 samples (6 unverified)
Your ViT is Secretly an Image Segmentation Model 1 1 24 Mar 2025 ran 1 of 2 samples (1 unverified)
UniFa: A unified feature hallucination framework for any-shot object detection 0 1 1 Mar 2025 not harvested
YOLOv12: A Breakdown of the Key Architectural Features 0 5 20 Feb 2025 not harvested
CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection 0 1 13 Dec 2024 not harvested
DEIM: DETR with Improved Matching for Fast Convergence 1 6 5 Dec 2024 ran 1 of 13 samples (12 unverified; 13 pointer-only for licence)
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training 1 2 2 Dec 2024 not harvested
HyperSeg: Towards Universal Visual Segmentation with Large Language Model 1 2 26 Nov 2024 ran 7 of 17 samples (10 unverified)
YOLOv11: An Overview of the Key Architectural Enhancements 1 5 23 Oct 2024 not harvested
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement 5 7 17 Oct 2024 ran 10 of 14 samples (4 unverified)
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention 1 4 11 Oct 2024 not harvested
Data Extrapolation for Text-to-image Generation on Small Datasets 1 1 2 Oct 2024 not harvested
Stochastic Subsampling With Average Pooling 0 1 25 Sep 2024 not harvested
Sapiens: Foundation for Human Vision Models 2 4 22 Aug 2024 ran 0 of 11 samples (11 unverified)
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection 2 1 16 Jul 2024 ran 1 of 1 samples (0 unverified)
Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection 1 3 5 Jul 2024 not harvested
LeYOLO, New Scalable and Efficient CNN Architecture for Object Detection 1 3 20 Jun 2024 not harvested
Parameter-Inverted Image Pyramid Networks 1 1 6 Jun 2024 not harvested
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation 2 1 3 Jun 2024 ran 18 of 24 samples (6 unverified; 2 pointer-only for licence)
YOLOv10: Real-Time End-to-End Object Detection 3 6 23 May 2024 ran 0 of 3 samples (3 unverified)
Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners 0 1 23 May 2024 not harvested
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval 2 4 5 May 2024 ran 3 of 4 samples (1 unverified; 4 pointer-only for licence)
3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting 1 1 26 Apr 2024 ran 10 of 10 samples (0 unverified)
Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Representation Learning 1 1 16 Apr 2024 not harvested
YOLOv5-6D: Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries 1 1 22 Mar 2024 not harvested
ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions 2 2 13 Mar 2024 not harvested

The full list of 579 is in the JSON twin.

Dataset loaders archive 2025-07-28

9 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Object DetectionSemantic SegmentationQuestion AnsweringPose EstimationVisual Question Answering (VQA)Instance SegmentationImage RetrievalVisual Question AnsweringImage CaptioningMulti-Label ClassificationObject LocalizationPanoptic SegmentationUnsupervised Semantic SegmentationText-to-Image GenerationCross-Modal RetrievalWeakly Supervised Object DetectionFew-Shot Object DetectionMulti-Person Pose EstimationObject CountingConditional Image GenerationInteractive SegmentationQuantizationQuestion GenerationUnsupervised Semantic Segmentation with Language-image Pre-trainingZero-Shot Composed Image Retrieval (ZS-CIR)Layout-to-Image GenerationKnowledge DistillationMulti-Label Image ClassificationScene Graph GenerationKeypoint DetectionReal-Time Object DetectionReal-time Instance SegmentationImage-to-Text RetrievalZero-Shot Object DetectionOpen World Object DetectionOpen Vocabulary Object DetectionHomography EstimationRobust Object DetectionSingle-object discoveryZero-shot Text-to-Image RetrievalParaphrase GenerationUnsupervised Object LocalizationWeakly-supervised instance segmentationImage OutpaintingMulti-object discoveryZero-Shot Cross-Modal RetrievalSemi Supervised Learning for Image CaptioningImage-level Supervised Instance SegmentationPoint-Supervised Instance SegmentationObject Proposal GenerationOne-Shot Object DetectionActive Object DetectionBox-supervised Instance Segmentationmage-to-Text RetrievalMulti-Label LearningOne-Shot Instance SegmentationRegion ProposalActiveness DetectionGeneralized Zero-Shot Object DetectionFew Shot Open Set Object Detection

License archive 2025-07-28

Custom

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • MSCOCO-1k
  • COCO 2017 (Sports, Food)
  • COCO 2017 (Outdoor, Accessories, Appliance, Truck)
  • COCO 2017 (Electronic, Indoor, Kitchen, Furniture)
  • COCO Visual Question Answering (VQA) abstract images 1.0 open ended
  • COCO Visual Question Answering (VQA) abstract 1.0 multiple choice
  • COCO 2017
  • COCO 2014
  • coco minval
  • COCO-Stuff-3
  • COCO-Stuff 256x256
  • COCO 256 x 256
  • COCO 2015
  • MS-COCO (10-shot)
  • MS-COCO
  • COCO Visual Question Answering (VQA) real images 2.0 open ended
  • COCO Visual Question Answering (VQA) real images 1.0 open ended
  • MSCOCO
  • DensePose-COCO
  • COCO_20k
  • COCO-Animals
  • COCO+
  • COCO test-dev
  • COCO test-challenge
  • COCO panoptic
  • COCO minival
  • COCO count-test
  • COCO Visual Question Answering (VQA) real images 1.0 multiple choice
  • COCO (image as query)
  • COCO (Common Objects in Context)

30 variant names, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections