Today is a big day for Imaging Data Commons - the initial version of the 𝗜𝗗𝗖 𝗖𝗹𝗮𝘂𝗱𝗲 𝘀𝗸𝗶𝗹𝗹 𝗶𝘀 𝗹𝗶𝘃𝗲, and I think it triggers a seismic shift in making 90+TB of data in IDC more accessible and discoverable!
• 𝘍𝘪𝘯𝘥 𝘪𝘮𝘢𝘨𝘪𝘯𝘨 𝘥𝘢𝘵𝘢𝘴𝘦𝘵𝘴 𝘣𝘺 𝘤𝘢𝘯𝘤𝘦𝘳 𝘵𝘺𝘱𝘦, 𝘪𝘮𝘢𝘨𝘪𝘯𝘨 𝘮𝘰𝘥𝘢𝘭𝘪𝘵𝘺 (𝘊𝘛, 𝘔𝘙, 𝘗𝘌𝘛, 𝘦𝘵𝘤.), 𝘰𝘳 𝘢𝘯𝘢𝘵𝘰𝘮𝘺
• 𝘊𝘩𝘦𝘤𝘬 𝘥𝘢𝘵𝘢 𝘭𝘪𝘤𝘦𝘯𝘴𝘦𝘴 𝘢𝘯𝘥 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦 𝘱𝘳𝘰𝘱𝘦𝘳 𝘤𝘪𝘵𝘢𝘵𝘪𝘰𝘯𝘴
• 𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘦 𝘥𝘰𝘸𝘯𝘭𝘰𝘢𝘥 𝘤𝘰𝘮𝘮𝘢𝘯𝘥𝘴 𝘶𝘴𝘪𝘯𝘨 𝘵𝘩𝘦 𝘪𝘥𝘤-𝘪𝘯𝘥𝘦𝘹 𝘗𝘺𝘵𝘩𝘰𝘯 𝘱𝘢𝘤𝘬𝘢𝘨𝘦
• 𝘗𝘳𝘰𝘷𝘪𝘥𝘦 𝘭𝘪𝘯𝘬𝘴 𝘵𝘰 𝘣𝘳𝘰𝘸𝘴𝘦𝘳-𝘣𝘢𝘴𝘦𝘥 𝘋𝘐𝘊𝘖𝘔 𝘷𝘪𝘦𝘸𝘦𝘳𝘴 𝘧𝘰𝘳 𝘥𝘢𝘵𝘢 𝘱𝘳𝘦𝘷𝘪𝘦𝘸
• 𝘈𝘯𝘴𝘸𝘦𝘳 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯𝘴 𝘢𝘣𝘰𝘶𝘵 𝘐𝘋𝘊 𝘥𝘢𝘵𝘢 𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦 𝘢𝘯𝘥 𝘋𝘐𝘊𝘖𝘔 𝘮𝘦𝘵𝘢𝘥𝘢𝘵𝘢
Once the skill is loaded, you can simply ask questions like:
• “𝘍𝘪𝘯𝘥 𝘊𝘛 𝘴𝘤𝘢𝘯𝘴 𝘰𝘧 𝘭𝘶𝘯𝘨 𝘤𝘢𝘯𝘤𝘦𝘳 𝘪𝘯 𝘐𝘋𝘊”
• “𝘏𝘰𝘸 𝘥𝘰 𝘐 𝘥𝘰𝘸𝘯𝘭𝘰𝘢𝘥 𝘢𝘭𝘭 𝘣𝘳𝘦𝘢𝘴𝘵 𝘔𝘙𝘐 𝘥𝘢𝘵𝘢 𝘸𝘪𝘵𝘩 𝘤𝘰𝘮𝘮𝘦𝘳𝘤𝘪𝘢𝘭-𝘶𝘴𝘦 𝘭𝘪𝘤𝘦𝘯𝘴𝘦𝘴?”
• “𝘚𝘩𝘰𝘸 𝘮𝘦 𝘵𝘩𝘦 𝘢𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 𝘤𝘰𝘭𝘭𝘦𝘤𝘵𝘪𝘰𝘯𝘴 𝘪𝘯 𝘐𝘋𝘊 𝘢𝘯𝘥 𝘵𝘩𝘦𝘪𝘳 𝘴𝘪𝘻𝘦𝘴”
• “𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘦 𝘢 𝘤𝘪𝘵𝘢𝘵𝘪𝘰𝘯 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘛𝘊𝘎𝘈-𝘉𝘙𝘊𝘈 𝘤𝘰𝘭𝘭𝘦𝘤𝘵𝘪𝘰𝘯”
I am very interested to hear from you about the utility of this skill, its performance across different platforms and models, missing coverage. Please report any issues in the github repo, or in the comments here!