Holoscan Sample App Data for AI Endoscopy Out of Body Detection

This resource contains a detection model which classifies if the input frame of an endoscopy video is inside the body or out of the body, as well as a sample surgical video.

Model

Note: The provided model is in ONNX format. It will automatically be converted into a TensorRT model (.engine) the first time it is processed by a Holoscan application.

Video Data

The sample data, provided by Activ Surgical, is an .mp4 video that consists of scenes from both in the body and out of the body during an endoscopic procedure.

Note: the .mp4 file must be converted into a GXF tensor file using the convert_video_to_gxf_entities.py script on GitHub to be used with the VideoStreamReplayer Holoscan operator.

License

Refer to the license agreement for use of the sample data.

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It will automatically be converted into a TensorRT model (.engine) the first time it is processed by a Holoscan application._\n\n## Video Data\n\nThe sample data, provided by [Activ Surgical](https://www.activsurgical.com/), is an .mp4 video that consists of scenes from both in the body and out of the body during an endoscopic procedure.\n\n_Note: the .mp4 file must be converted into a GXF tensor file using the `convert_video_to_gxf_entities.py` script on [GitHub](https://github.com/nvidia-holoscan/holoscan-sdk/tree/main/scripts#convert_video_to_gxf_entitiespy) to be used with the `VideoStreamReplayer` Holoscan operator._\n\n## License\n\nRefer to the [license agreement](https://developer.nvidia.com/clara-holoscan-EULA) for use of the sample data.","displayName","Endoscopy out of body Sample App Data",["D",1681919049335],"publisher","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/clara-holoscan/resources/endoscopy_out_of_body_detection","rawImageUrl","https://avatars.githubusercontent.com/u/119712212","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[268,269,270,271],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_238":287,"_273":288,"_275":289,"_277":87},{"_238":284,"_273":285,"_275":286,"_277":87},{"_238":280,"_273":281,"_275":282,"_277":87},{"_238":272,"_273":274,"_275":276,"_277":87},"Holoscan","value","pltfm_clara_holoscan","filter",{"_278":279,"_273":274},"category","field","platform","Healthcare","indus_healthcare",{"_278":283,"_273":281},"industry","Clara","pltfm_clara",{"_278":279,"_273":285},"AI","soln_ai",{"_278":290,"_273":288},"technology",{"_152":1464,"_154":1465},"ngcApps",[1417],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1398":1399,"_1400":1401,"_1402":1403,"_1404":1405,"_1406":302,"_109":326,"_1407":1408,"_1409":59,"_1410":90,"_1411":90,"_1412":1413,"_1414":90,"_1415":1416},"amplitude",{"_1395":1396,"_997":-7,"_1397":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1389":1390,"_1391":1392,"_1393":1394},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.3","defaultSearchSuggestions",{"_1272":128,"_1273":1274,"_1275":1276,"_1277":1278},"announcements",[],"consentState",{"_363":1262,"_1263":90,"_1264":34,"_1265":34,"_1266":1267},"consentConfig",{"_345":346,"_347":348,"_349":350,"_351":352,"_353":354,"_355":356,"_357":358,"_359":360,"_361":362,"_363":364},"showContactAdmin",1784076362207,[],[],[340,341,342,343,344],{"_48":63,"_50":74,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":70,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":64,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":60,"_50":61,"_52":147,"_54":-5,"_56":-5,"_58":59},{"_48":49,"_50":51,"_52":147,"_54":-5,"_56":-5,"_58":59},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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