docling/tests/data/groundtruth/docling_v1/2206.01062.json

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In Section 4,", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [327.918, 560.998, 558.198, 568.799], "page": 2, "span": [0, 61], "__ref_s3_data": null}], "text": "In Section 5, we will present baseline accuracy numbers for a", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [317.955, 460.786, 323.562, 469.853], "page": 2, "span": [0, 1], "__ref_s3_data": null}], "text": "2", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [317.525, 437.436, 559.713, 445.237], "page": 2, "span": [0, 61], "__ref_s3_data": null}], "text": "While early approaches in document-layout analysis used rule-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [327.918, 316.888, 558.198, 324.689], "page": 2, "span": [0, 59], "__ref_s3_data": null}], "text": "Lately, new types of ML models for document-layout analysis", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [317.955, 216.67499999999995, 323.562, 225.74199999999996], "page": 2, "span": [0, 1], "__ref_s3_data": null}], "text": "3", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [317.955, 193.32500000000005, 558.202, 201.12599999999998], "page": 2, "span": [0, 63], "__ref_s3_data": null}], "text": "DocLayNet contains 80863 PDF pages. Among these, 7059 carry two", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [327.918, 105.654, 558.198, 113.45500000000004], "page": 2, "span": [0, 61], "__ref_s3_data": null}], "text": "In addition to open intellectual property constraints for the", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [53.798, 86.90599999999995, 56.346, 91.673], "page": 3, "span": [0, 1], "__ref_s3_data": null}], "text": "2", "type": "footnote", "payload": null, "name": "Footnote", "font": null}, {"name": "Picture", "type": "figure", "$ref": "#/figures/1"}, {"prov": [{"bbox": [53.798, 501.965, 294.046, 509.766], "page": 3, "span": [0, 66], "__ref_s3_data": null}], "text": "to a minimum, since they introduce difficulties in annotation (see", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [63.761, 414.294, 295.559, 422.095], "page": 3, "span": [0, 61], "__ref_s3_data": null}], "text": "The pages in DocLayNet can be grouped into six distinct cate-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [63.761, 271.828, 295.559, 279.629], "page": 3, "span": [0, 61], "__ref_s3_data": null}], "text": "We did not control the document selection with regard to lan-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [63.761, 173.19799999999998, 295.564, 180.99900000000002], "page": 3, "span": [0, 62], "__ref_s3_data": null}], "text": "To ensure that future benchmarks in the document-layout analy-", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [327.918, 696.405, 558.201, 704.206], "page": 3, "span": [0, 66], "__ref_s3_data": null}], "text": "Table 1 shows the overall frequency and distribution of the labels", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [327.918, 619.693, 558.438, 627.494], "page": 3, "span": [0, 63], "__ref_s3_data": null}], "text": "In order to accommodate the different types of models currently", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [327.918, 510.104, 559.185, 517.905], "page": 3, "span": [0, 65], "__ref_s3_data": null}], "text": "Despite being cost-intense and far less scalable than automation,", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [317.955, 175.14499999999998, 323.562, 184.212], "page": 3, "span": [0, 1], "__ref_s3_data": null}], "text": "4", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [317.686, 151.79499999999996, 558.201, 159.596], "page": 3, "span": [0, 64], "__ref_s3_data": null}], "text": "The annotation campaign was carried out in four phases. In phase", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"name": "Table", "type": "table", "$ref": "#/tables/0"}, {"prov": [{"bbox": [53.798, 229.76599999999996, 295.649, 237.21900000000005], "page": 4, "span": [0, 58], "__ref_s3_data": null}], "text": "Figure 3: Corpus Conversion Service annotation user inter-", "type": "caption", "payload": null, "name": "Caption", "font": null}, {"name": "Picture", "type": "figure", "$ref": "#/figures/2"}, {"prov": [{"bbox": [53.467, 149.47699999999998, 294.047, 157.27800000000002], "page": 4, "span": [0, 63], "__ref_s3_data": null}], "text": "we distributed the annotation workload and performed continuous", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [63.761, 105.76499999999999, 226.725, 113.21799999999996], "page": 4, "span": [0, 40], "__ref_s3_data": null}], "text": "Phase 1: Data selection and preparation.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [317.955, 471.689, 481.034, 479.49], "page": 4, "span": [0, 46], "__ref_s3_data": null}], "text": "include publication repositories such as arXiv", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [327.918, 405.936, 558.206, 413.737], "page": 4, "span": [0, 59], "__ref_s3_data": null}], "text": "Preparation work included uploading and parsing the sourced", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [327.918, 274.553, 482.418, 282.006], "page": 4, "span": [0, 39], "__ref_s3_data": null}], "text": "Phase 2: Label selection and guideline.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [317.955, 86.20900000000006, 320.503, 90.976], "page": 4, "span": [0, 1], "__ref_s3_data": null}], "text": "3", "type": "footnote", "payload": null, "name": "Footnote", "font": null}, {"prov": [{"bbox": [53.798, 696.405, 294.045, 704.206], "page": 5, "span": [0, 66], "__ref_s3_data": null}], "text": "the textual content of an element, which goes beyond visual layout", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [63.761, 674.487, 294.043, 682.288], "page": 5, "span": [0, 65], "__ref_s3_data": null}], "text": "At first sight, the task of visual document-layout interpretation", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [63.761, 532.022, 294.219, 539.823], "page": 5, "span": [0, 65], "__ref_s3_data": null}], "text": "Obviously, this inconsistency in annotations is not desirable for", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [64.708, 435.256, 74.221, 443.057], "page": 5, "span": [0, 3], "__ref_s3_data": null}], "text": "- (1)", "type": "paragraph", "payload": null, "name": "List-item", "font": null}, {"prov": [{"bbox": [64.708, 391.42, 74.221, 399.221], "page": 5, "span": [0, 3], "__ref_s3_data": null}], "text": 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"The complete annotation guideline is over 100 pages long and a", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [63.761, 207.10699999999997, 136.774, 214.55999999999995], "page": 5, "span": [0, 18], "__ref_s3_data": null}], "text": "Phase 3: Training.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"name": "Picture", "type": "figure", "$ref": "#/figures/3"}, {"prov": [{"bbox": [317.623, 258.27099999999996, 558.204, 266.072], "page": 5, "span": [0, 67], "__ref_s3_data": null}], "text": "were carried out over a timeframe of 12 weeks, after which 8 of the", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [327.918, 236.47699999999998, 456.801, 243.93000000000006], "page": 5, "span": [0, 31], "__ref_s3_data": null}], "text": "Phase 4: Production annotation.", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [53.502, 696.903, 294.044, 704.356], "page": 6, "span": [0, 56], "__ref_s3_data": null}], "text": "Table 2: Prediction performance (mAP@0.5-0.95) of object", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"name": "Table", "type": "table", "$ref": "#/tables/1"}, {"prov": [{"bbox": [53.798, 412.841, 294.047, 420.642], "page": 6, "span": [0, 67], "__ref_s3_data": null}], "text": "to avoid this at any cost in order to have clear, unbiased baseline", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [53.798, 193.865, 59.405, 202.93200000000002], "page": 6, "span": [0, 1], "__ref_s3_data": null}], "text": "5", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [53.529, 170.515, 294.049, 178.31600000000003], "page": 6, "span": [0, 65], "__ref_s3_data": null}], "text": "The primary goal of DocLayNet is to obtain high-quality ML models", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"name": "Picture", "type": "figure", "$ref": "#/figures/4"}, {"prov": [{"bbox": [317.955, 399.757, 558.204, 407.558], "page": 6, "span": [0, 62], "__ref_s3_data": null}], "text": "paper and leave the detailed evaluation of more recent methods", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [327.918, 377.839, 558.198, 385.64], "page": 6, "span": [0, 63], "__ref_s3_data": null}], "text": "In this section, we will present several aspects related to the", "type": "paragraph", "payload": null, "name": "Text", "font": null}, {"prov": [{"bbox": [317.955, 285.173, 466.853, 294.24], "page": 6, "span": [0, 30], "__ref_s3_data": null}], "text": "Baselines for Object Detection", "type": "subtitle-level-1", "payload": null, "name": "Section-header", "font": null}, {"prov": [{"bbox": [317.955, 271.744, 558.431, 279.5450000000001], "page": 6, "span": [0, 66], "__ref_s3_data": null}], "text": "In Table 2, we present baseline experiments (given in mAP) on Mask", 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