Server Fan installation

Dataset Description:

The Server Fan Installation dataset includes internally recorded videos of server fans and power installations. The dataset includes NVIDIA internally recorded videos and was used in the 2025 GTC San Jose DLI course.

This dataset is ready for non-commercial/research and development use only.

Dataset Owner(s):

NVIDIA Corporation

Dataset Creation Date:

December 2024

License/Terms of Use:

NVIDIA Sample Data License for Evaluation

Intended Usage:

This dataset is intended to be released along with the industrial SOP monitoring training / inference blueprint. The goal is to use this dataset as a sample dataset so that users can become familiar with the industrial SOP monitoring training and inference blueprint usage.

Dataset Characterization

Data Collection Method: Human
Labeling Method: Human

Dataset Format

Videos (mp4)
actions.json

Dataset Quantification

12 raw videos
132 video chunks (generated from 12 raw videos)\n
- 110 action chunks for training
- 22 action chunks for testing
\n
1 actions.json for action definition
Augmented chunks and QA json pairs\n
- BCQ / Golden_GQA / GQAS / MCQ
\n

Action chunk naming convention: <action_id>_<video_name>_<duplication_cnt>_<timeline_index>.mp4\nEx: 02_Install_1_1_3.mp4 means the \"first\" \"action 2\" chunk of \"Install_1.mp4\" and it's the \"third action\" that happens in the video

Measurement of Total Data Storage: Around 5GB

Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
\nPlease report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

All sample data and assets are governed by the NVIDIA Sample Data License for Evaluation

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The dataset includes NVIDIA internally recorded videos and was used in the 2025 GTC San Jose DLI course.\n\nThis dataset is ready for non-commercial/research and development use only.\n\n## Dataset Owner(s):\n\nNVIDIA Corporation\n\n## Dataset Creation Date:\n\nDecember 2024 \n\n## License/Terms of Use: \nNVIDIA Sample Data License for Evaluation \n\n## Intended Usage:\n\nThis dataset is intended to be released along with the industrial SOP monitoring training / inference blueprint. The goal is to use this dataset as a sample dataset so that users can become familiar with the industrial SOP monitoring training and inference blueprint usage.\n\n## Dataset Characterization\n- Data Collection Method: Human\n- Labeling Method: Human\n\n## Dataset Format\n\n1. Videos (mp4)\n2. actions.json\n\n## Dataset Quantification\n1. 12 raw videos\n2. 132 video chunks (generated from 12 raw videos)\n - 110 action chunks for training\n - 22 action chunks for testing\n3. 1 actions.json for action definition\n4. Augmented chunks and QA json pairs\n - BCQ / Golden_GQA / GQAS / MCQ\n\nAction chunk naming convention: `___.mp4`\nEx: `02_Install_1_1_3.mp4` means the \"first\" \"action 2\" chunk of \"Install_1.mp4\" and it's the \"third action\" that happens in the video\n\nMeasurement of Total Data Storage: Around 5GB\n\n## Ethical Considerations:\nNVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse. \nPlease report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).\n\n\nAll sample data and assets are governed by the [NVIDIA Sample Data License for Evaluation](https://developer.download.nvidia.com/licenses/nvidia-sample-data-license-for-evaluation-2026.01.19.pdf)","displayName",["D",1770993590908],"publisher","NVIDIA","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/tao/resources/sop-server-fan-installation-data","rawImageUrl","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[269,270],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_240":276,"_271":276,"_272":277,"_274":88},{"_240":243,"_271":243,"_272":273,"_274":88},"value","filter",{"_275":88,"_271":243},"category","field","NSPECT-FAJC-8O7J",{"_275":88,"_271":276},{"_152":1451,"_154":1452},"ngcApps",[1404],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1385":1386,"_1387":1388,"_1389":1390,"_1391":1392,"_1393":289,"_110":313,"_1394":1395,"_1396":59,"_1397":91,"_1398":91,"_1399":1400,"_1401":91,"_1402":1403},"amplitude",{"_1382":1383,"_986":-7,"_1384":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1376":1377,"_1378":1379,"_1380":1381},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.3","defaultSearchSuggestions",{"_1261":394,"_1262":1263,"_1264":1265,"_1266":1267},"announcements",[],"consentState",{"_351":1251,"_1252":91,"_1253":34,"_1254":34,"_1255":1256},"consentConfig",{"_333":334,"_335":336,"_337":338,"_339":340,"_341":342,"_343":344,"_345":346,"_347":348,"_349":350,"_351":352},"showContactAdmin",1784149479662,[],[],[327,328,329,330,331],{"_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":53,"_54":55,"_56":332,"_58":59},{"_48":49,"_50":51,"_52":147,"_54":-5,"_56":-5,"_58":59},3,"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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