{"schema_version":"onlylabs.public_signal.v1","title":"Scaleway Writing: Smart data annotation for your computer vision projects: CVAT on Scaleway","description":"Scaleway writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/2c747557-0b1a-4404-9e36-d7adc58e9289","json_url":"https://onlylabs.fyi/signals/2c747557-0b1a-4404-9e36-d7adc58e9289/signal.json","generated_at":"2026-06-07T21:17:26.433038+00:00","org":{"slug":"scaleway","name":"Scaleway","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/scaleway","dossier_json_url":"https://onlylabs.fyi/labs/scaleway/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/2c747557-0b1a-4404-9e36-d7adc58e9289","signal_json":"https://onlylabs.fyi/signals/2c747557-0b1a-4404-9e36-d7adc58e9289/signal.json","source":"https://www.scaleway.com/en/blog/smart-data-annotation-for-your-computer-vision-projects-cvat-on-scaleway/","lab_dossier":"https://onlylabs.fyi/labs/scaleway","lab_dossier_json":"https://onlylabs.fyi/labs/scaleway/dossier.json","analysis":"https://onlylabs.fyi/analysis/scaleway","analysis_json":"https://onlylabs.fyi/analysis/scaleway/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/scaleway/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Scaleway published Smart data annotation for your computer vision projects: CVAT on Scaleway. 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Introduction We all heard the phrase \" data is the new oil \". Data has certainly been fueling many of the recent technological advancements, yet the comparison holds beyond this. Much like crude oil, data needs to be processed before it can be put to use. The processing stages typically include cleanup, various transformations, and, depending on the data and the use case, manual annotation. The demand for the latter is high in the fields of computer vision and natural language processing (NLP): in other words, the data formats that are most natural for humans, as opposed to the structured data that is best viewed in table form. Manual data annotation is a time-consuming and expensive process. To make matters worse, deep artificial neural networks, the current state of the art for both computer vision and NLP, are the algorithms that require the largest amounts of data to train. Efficient..."},"evidence_pages":[{"url":"https://www.scaleway.com/en/blog/smart-data-annotation-for-your-computer-vision-projects-cvat-on-scaleway/","final_url":"https://www.scaleway.com/en/blog/smart-data-annotation-for-your-computer-vision-projects-cvat-on-scaleway/","title":"Smart data annotation for your computer vision projects: CVAT on Scaleway","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:17:26.433038+00:00","bytes":183983,"raw_path":"ad9481d8c34ab4cc3345e003b5cba4cbcd3dc16e8c2332900517ce771513789a.html","content_hash":"958db9430db2366657e081318bd82d6cedcddca3528bcefa0b9a297f4258d1c3","excerpt_chars":1200,"truncated":true,"excerpt":"Smart data annotation for your computer vision projects: CVAT on Scaleway Build • Olga Petrova • 04/07/22 • 9 min read In this article we are going to look at how to set up a data annotation platform for image and video files stored in Scaleway object storage, using the open source CVAT tool. Introduction We all heard the phrase \" data is the new oil \". Data has certainly been fueling many of the recent technological advancements, yet the comparison holds beyond this. Much like crude oil, data needs to be processed before it can be put to use. The processing stages typically include cleanup, various transformations, and, depending on the data and the use case, manual annotation. The demand for the latter is high in the fields of computer vision and natural language processing (NLP): in other words, the data formats that are most natural for humans, as opposed to the structured data that is best viewed in table form. Manual data annotation is a time-consuming and expensive process. To make matters worse, deep artificial neural networks, the current state of the art for both computer vision and NLP, are the algorithms that require the largest amounts of data to train. 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