EasyOCR

Reported on 4 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

Optical Character Recognition (OCR)onVideoDB's OCR Benchmark Public Collection
Character Error Rate (CER)· 2025-02-10
0.507
best: 0.2378 (GPT-4o)
SOTA
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments arXiv:2502.06445
Optical Character Recognition (OCR)onVideoDB's OCR Benchmark Public Collection
Word Error Rate (WER)· 2025-02-10
0.8262
best: 0.2385 (Gemini-1.5 Pro)
SOTA
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments arXiv:2502.06445
Optical Character Recognition (OCR)onVideoDB's OCR Benchmark Public Collection
Average Accuracy· 2025-02-10
49.3
best: 76.22 (GPT-4o)
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments arXiv:2502.06445
Optical Character Recognition (OCR)onSUT
Character Error Rate (CER)
0.072