Codesota · Models · AKHCRNetUnknown3 results · 1 benchmarks
Model card

AKHCRNet.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 01 · Benchmarks

Every benchmark AKHCRNet has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01banglalekha-isolated-datasetComputer Vision · Handwriting Recognitionaccuracy96.8%#1/12020-08-29source ↗
02banglalekha-isolated-datasetComputer Vision · Handwriting Recognitioncross-entropy-loss0.2%#1/12020-08-29source ↗
03banglalekha-isolated-datasetComputer Vision · Handwriting Recognitionepochs11.0%#1/12020-08-29source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area

Where AKHCRNet actually performs.

Computer Vision
1
benchmark
avg rank #1.0
§ 03 · Papers

1 paper with results for AKHCRNet.

  1. 2020-08-29· Computer Vision· 3 results

    AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning

§ 04 · Related models

Other Unknown models scored on Codesota.

fglihai
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CLIP4STR-L
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USYD NLP_CS29-2
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Corner-based Region Proposals
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EAST + VGG16
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SSTD
Unknown params · 3 results
TextBoxes++_MS
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WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 05 · Sources & freshness

Where these numbers come from.

papers-with-code
3
results
3 of 3 rows marked verified.