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A dataset of gastroenteroscopic polyp object detection

Listed in ScienceDB

The images in this dataset are sourced from multiple public datasets and data images provided by a certain hospital, including various types and stages of polyps.

Description

Collect 5460 images of polyps. The dataset contains three subfolders, each containing the following content: (1) Polyp Images stores original image data in JPG format, with pixel sizes ranging from 300 × 243 to 2559 × 1432. (2) XML Labels stores XML format labels generated by Labelimg software after annotating polyps in images.

Each label file name corresponds to the original image and supports custom script conversion formats. (3) TXT Labels stores labels converted from scripts to TXT format files and supports dataset partitioning for YOLO network series. The image resolution ranges from 300 × 243 to 2559 × 1432. The dataset has diverse image acquisition angles and lighting conditions, covering various polyp shapes such as malignant, benign, large and small pixels.

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The entire dataset has rich samples and strong generalization ability. 

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00001.0146712 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:imageenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
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