Datasets › COCO-MLT

COCO-MLT

Introduced by Tong Wu et al. in Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets19 Jul 2020 archive 2025-07-28

The COCO-MLT is created from MS COCO-2017, containing 1,909 images from 80 classes. The maximum of training number per class is 1,128 and the minimum is 6. We use the test set of COCO2017 with 5,000 for evaluation. The ratio of head, medium, and tail classes is 22:33:25 in COCO-MLT.

Benchmarks Papers JSON

Benchmarks archive 2025-07-28

All 2 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)	Paper	Code
Long-tail Learning	COCO-MLT	LMPT(ViT-B/16) Average mAP 66.19	LMPT: Prompt Tuning with Class-Specific Embedding Loss...	richard-peng-xia/LMPT	13	Compare
Zero-Shot Learning	COCO-MLT	ResNet-50 Average mAP 56.19	Learning Transferable Visual Models From Natural...	openai/CLIP +81	2	Compare

Papers archive 2025-07-28

11 shown of 11 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 12. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

			Date	Samples run Syntology
Probability Guided Loss for Long-Tailed Multi-Label Image Classification	0	1	26 Jun 2023	not harvested
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition	1	2	8 May 2023	ran 0 of 9 samples (9 unverified)
Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings	0	1	19 Jun 2021	not harvested
Learning Transferable Visual Models From Natural Language Supervision	82	4	26 Feb 2021	ran 16 of 20 samples (4 unverified; 16 pointer-only for licence)
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets	1	1	19 Jul 2020	not harvested
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss	7	1	18 Jun 2019	ran 2 of 11 samples (9 unverified; 3 pointer-only for licence)
Large-Scale Long-Tailed Recognition in an Open World	2	1	10 Apr 2019	not harvested
Multi-Label Image Recognition with Graph Convolutional Networks	2	1	7 Apr 2019	not harvested
Class-Balanced Loss Based on Effective Number of Samples	11	1	16 Jan 2019	ran 7 of 27 samples (20 unverified)
Focal Loss for Dense Object Detection	234	1	7 Aug 2017	ran 11 of 11 samples (0 unverified; 6 pointer-only for licence)
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks	1	1	18 Dec 2015	not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Zero-Shot Learning Long-tail Learning Multi-Label Image Classification

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

English

Variants archive 2025-07-28

COCO-MLT

1 variant name, 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