ocrd_eval.sample.json

[
    {
        "@id": "wf-data16_ant_complex_minimal_ocr-eval",
        "label": "Workflow on data 16_ant_complex_minimal_ocr",
        "metadata": {
            "ocr_workflow": {
                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
                "label": "OCR Workflow minimal_ocr"
            },
            "eval_workflow": {
                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                "label": "Evaluation Workflow dinglehopper_eval"
            },
            "gt_workspace": {
                "@id": "https://github.com/OCR-D/quiver-data/blob/main/16_ant_complex.ocrd.zip",
                "label": "GT workspace 16th century Antiqua complex layout"
            },
            "ocr_workspace": {
                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/16_ant_complex_minimal_ocr_ocr.zip",
                "label": "OCR workspace for 16_ant_complex_minimal_ocr"
            },
            "eval_workspace": {
                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/16_ant_complex_minimal_ocr_evaluation.zip",
                "label": "Evaluation workspace for 16_ant_complex_minimal_ocr"
            },
            "workflow_steps": [
                {
                    "id": "ocrd-tesserocr-recognize",
                    "params": {
                        "segmentation_level": "region",
                        "textequiv_level": "word",
                        "find_tables": true,
                        "model": "Fraktur_GT4HistOCR",
                        "dpi": 0,
                        "padding": 0,
                        "overwrite_segments": false,
                        "overwrite_text": true,
                        "shrink_polygons": false,
                        "block_polygons": false,
                        "find_staves": false,
                        "sparse_text": false,
                        "raw_lines": false,
                        "char_whitelist": "",
                        "char_blacklist": "",
                        "char_unblacklist": "",
                        "tesseract_parameters": {},
                        "xpath_parameters": {},
                        "xpath_model": {},
                        "auto_model": false,
                        "oem": "DEFAULT"
                    }
                }
            ],
            "workflow_model": "Fraktur_GT4HistOCR",
            "eval_tool": "ocrd-dinglehopper vNone",
            "document_metadata": {
                "data_properties": {
                    "fonts": [
                        "Antiqua"
                    ],
                    "publication_century": "1500-1600",
                    "publication_decade": "",
                    "publication_year": "16th century",
                    "number_of_pages": 3,
                    "layout": "complex"
                }
            }
        },
        "evaluation_results": {
            "document_wide": {
                "wall_time": 7.72297,
                "cpu_time": 10.385645,
                "cer_mean": 0.10240852523716282,
                "cer_median": 0.10536980749746708,
                "cer_range": [
                    0.07124352331606218,
                    0.1306122448979592
                ],
                "cer_standard_deviation": 0.02979493530847308,
                "wer": 0.23466068901129858,
                "pages_per_minute": 23.307095586283516
            },
            "by_page": [
                {
                    "page_id": "phys_0007",
                    "cer_mean": 0.07124352331606218,
                    "wer": 0.2231404958677686
                },
                {
                    "page_id": "phys_0008",
                    "cer_mean": 0.10536980749746708,
                    "wer": 0.2484472049689441
                },
                {
                    "page_id": "phys_0009",
                    "cer_mean": 0.1306122448979592,
                    "wer": 0.2323943661971831
                }
            ]
        }
    }
]