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computer-vision-14

Multi-Label Image Classification

3260 papers • 126 benchmarks • 313 datasets

The Multi-Label Image Classification focuses on predicting labels for images in a multi-class classification problem where each image may belong to more than one class.

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in multi-label-image-classification-14

Trend

Dataset

Best Model

Actions

BigEarthNet

BigEarthNet

BigEarthNet (official test set)

BigEarthNet (official test set)

MSCOCO

Libraries

i

Use these libraries to find multi-label-image-classification-14 models and implementations

open-mmlab/mmclassification

2 papers 3,118

Datasets

BigEarthNet

MSCOCO

VizWiz-Classification

VizWiz-Classification

VOC-MLT

COCO-MLT

Sewer-ML

Subtasks

Multi-label Image Recognition with Partial Labels

Most implemented papers

Content

Introduction Benchmarks Datasets Subtasks Libraries Papers

MSCOCO

BigEarthNet-S1 (official test set)

BigEarthNet-S1 (official test set)

VOC2007

VOC2007

BigEarthNet-10%

BigEarthNet-10%

VizWiz-Classification

VizWiz-Classification

Bengali.AI Handwritten Graphemes

Bengali.AI Handwritten Graphemes

dacl10k

Adding a benchmark result helps the community track progress.

Multi-Label Image Classification | State-of-the-Art