Codesota · Computer Vision · Optical Character Recognition · reuters-21578Tasks/Computer Vision/Optical Character Recognition
Optical Character Recognition · benchmark dataset · 2020 · EN

reuters-21578.

Dataset from Papers With Code

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§ 01 · Leaderboard

Best published scores.

8 results indexed across 2 metrics. Shaded row marks current SOTA; ties broken by submission date.


Primary
accuracy · higher is better
All metrics
accuracy, f1
accuracy· primary
3 rows
#ModelOrgSubmittedPaper / codeaccuracy
01ApproxRepSetApr 2019Rep the Set: Neural Networks for Learning Set Representa… · code97.17
02REL-RWMD k-NNDec 2019Speeding up Word Mover's Distance and its variants via p… · code95.61
03Orthogonalized Soft VSMMar 2020Text classification with word embedding regularization a… · code92.65
f1
5 rows
#ModelOrgSubmittedPaper / codef1
01MAGNETFeb 2020papers-with-code · code89.90
02VLAWEFeb 2019Vector of Locally-Aggregated Word Embeddings (VLAWE): A … · code89.30
03KD-LSTMregApr 2019DocBERT: BERT for Document Classification · code88.90
04LSTM-reg (single model)Jun 2019papers-with-code · code87
05SCDV-MSNov 2019Improving Document Classification with Multi-Sense Embed… · code82.71
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 03 · Progress

1 steps
of state of the art.

Each row below marks a model that broke the previous record on accuracy. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.

Higher scores win. Each subsequent entry improved upon the previous best.

SOTA line · accuracy
  1. Apr 3, 2019ApproxRepSet97.17
Fig 3 · SOTA-setting models only. 1 entries span Apr 2019 Apr 2019.
§ 04 · Literature

6 papers
tied to this benchmark.

Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.

§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies