Miko Czerkawski
@mikonvergence.bsky.social
co-founder scientist of @asterisk-labs.bsky.social | ex @esa.int Φ-lab
computer vision, earth observation, signal processing
https://mikonvergence.github.io
computer vision, earth observation, signal processing
https://mikonvergence.github.io
⚠️ Nearly 40 billion (39,820,373,479) new embeddings of Major TOM Copernicus data now released!
More details: www.linkedin.com/feed/update/...
More details: www.linkedin.com/feed/update/...
April 28, 2025 at 5:31 AM
⚠️ Nearly 40 billion (39,820,373,479) new embeddings of Major TOM Copernicus data now released!
More details: www.linkedin.com/feed/update/...
More details: www.linkedin.com/feed/update/...
🔵 𝐂𝐎𝐏-𝐆𝐄𝐍-𝐁𝐞𝐭𝐚: 𝐔𝐧𝐢𝐟𝐢𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠 𝐨𝐟 𝐂𝐎𝐏𝐞𝐫𝐧𝐢𝐜𝐮𝐬 𝐈𝐦𝐚𝐠𝐞𝐫𝐲 𝐓𝐡𝐮𝐦𝐛𝐧𝐚𝐢𝐥𝐬
Now on @hf.co
⚖️ 𝐌𝐨𝐝𝐞𝐥 huggingface.co/mespinosami/...
📱 𝐃𝐞𝐦𝐨 huggingface.co/spaces/mikon...
📄 𝐏𝐚𝐩𝐞𝐫 arxiv.org/abs/2504.08548
Now on @hf.co
⚖️ 𝐌𝐨𝐝𝐞𝐥 huggingface.co/mespinosami/...
📱 𝐃𝐞𝐦𝐨 huggingface.co/spaces/mikon...
📄 𝐏𝐚𝐩𝐞𝐫 arxiv.org/abs/2504.08548
April 21, 2025 at 7:16 AM
🔵 𝐂𝐎𝐏-𝐆𝐄𝐍-𝐁𝐞𝐭𝐚: 𝐔𝐧𝐢𝐟𝐢𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐥𝐢𝐧𝐠 𝐨𝐟 𝐂𝐎𝐏𝐞𝐫𝐧𝐢𝐜𝐮𝐬 𝐈𝐦𝐚𝐠𝐞𝐫𝐲 𝐓𝐡𝐮𝐦𝐛𝐧𝐚𝐢𝐥𝐬
Now on @hf.co
⚖️ 𝐌𝐨𝐝𝐞𝐥 huggingface.co/mespinosami/...
📱 𝐃𝐞𝐦𝐨 huggingface.co/spaces/mikon...
📄 𝐏𝐚𝐩𝐞𝐫 arxiv.org/abs/2504.08548
Now on @hf.co
⚖️ 𝐌𝐨𝐝𝐞𝐥 huggingface.co/mespinosami/...
📱 𝐃𝐞𝐦𝐨 huggingface.co/spaces/mikon...
📄 𝐏𝐚𝐩𝐞𝐫 arxiv.org/abs/2504.08548
𝐌𝐄𝐒𝐀 🏔️ 𝐓𝐞𝐱𝐭-𝐛𝐚𝐬𝐞𝐝 𝐭𝐞𝐫𝐫𝐚𝐢𝐧 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐞𝐥 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐨𝐧 @hf.co
Capable of generating 2.5D representations (co-registered colour and depth maps) of terrains based on text prompt conditioning.
Website: paulbornep.github.io/mesa-terrain/
Capable of generating 2.5D representations (co-registered colour and depth maps) of terrains based on text prompt conditioning.
Website: paulbornep.github.io/mesa-terrain/
April 17, 2025 at 7:58 AM
𝐌𝐄𝐒𝐀 🏔️ 𝐓𝐞𝐱𝐭-𝐛𝐚𝐬𝐞𝐝 𝐭𝐞𝐫𝐫𝐚𝐢𝐧 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐦𝐨𝐝𝐞𝐥 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞 𝐨𝐧 @hf.co
Capable of generating 2.5D representations (co-registered colour and depth maps) of terrains based on text prompt conditioning.
Website: paulbornep.github.io/mesa-terrain/
Capable of generating 2.5D representations (co-registered colour and depth maps) of terrains based on text prompt conditioning.
Website: paulbornep.github.io/mesa-terrain/
𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀: 𝗧𝗲𝗿𝗿𝗮𝗕𝘆𝘁𝗲𝘀 𝗮𝘁 𝗜𝗖𝗠𝗟 𝟮𝟬𝟮𝟱
We are now accepting submissions to 🌍💿𝗧𝗲𝗿𝗿𝗮𝗕𝘆𝘁𝗲𝘀!
𝗠𝗼𝗿𝗲 𝗜𝗻𝗳𝗼: terrabytes-workshop.github.io
𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗣𝗼𝗿𝘁𝗮𝗹: openreview.net/group?id=ICM...
@icmlconf.bsky.social
(1/3)
We are now accepting submissions to 🌍💿𝗧𝗲𝗿𝗿𝗮𝗕𝘆𝘁𝗲𝘀!
𝗠𝗼𝗿𝗲 𝗜𝗻𝗳𝗼: terrabytes-workshop.github.io
𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗣𝗼𝗿𝘁𝗮𝗹: openreview.net/group?id=ICM...
@icmlconf.bsky.social
(1/3)
March 28, 2025 at 5:47 AM
𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀: 𝗧𝗲𝗿𝗿𝗮𝗕𝘆𝘁𝗲𝘀 𝗮𝘁 𝗜𝗖𝗠𝗟 𝟮𝟬𝟮𝟱
We are now accepting submissions to 🌍💿𝗧𝗲𝗿𝗿𝗮𝗕𝘆𝘁𝗲𝘀!
𝗠𝗼𝗿𝗲 𝗜𝗻𝗳𝗼: terrabytes-workshop.github.io
𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗣𝗼𝗿𝘁𝗮𝗹: openreview.net/group?id=ICM...
@icmlconf.bsky.social
(1/3)
We are now accepting submissions to 🌍💿𝗧𝗲𝗿𝗿𝗮𝗕𝘆𝘁𝗲𝘀!
𝗠𝗼𝗿𝗲 𝗜𝗻𝗳𝗼: terrabytes-workshop.github.io
𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗣𝗼𝗿𝘁𝗮𝗹: openreview.net/group?id=ICM...
@icmlconf.bsky.social
(1/3)
It is high time we expanded the open Major TOM standard and released nearly 170 million global embeddings.
In a joint collaboration between ESA Φ-lab and CloudFerro, we expanded the standard for Major TOM to also support embedding derivative datasets:
arxiv.org/abs/2412.05600
In a joint collaboration between ESA Φ-lab and CloudFerro, we expanded the standard for Major TOM to also support embedding derivative datasets:
arxiv.org/abs/2412.05600
December 10, 2024 at 7:47 AM
It is high time we expanded the open Major TOM standard and released nearly 170 million global embeddings.
In a joint collaboration between ESA Φ-lab and CloudFerro, we expanded the standard for Major TOM to also support embedding derivative datasets:
arxiv.org/abs/2412.05600
In a joint collaboration between ESA Φ-lab and CloudFerro, we expanded the standard for Major TOM to also support embedding derivative datasets:
arxiv.org/abs/2412.05600
ᴍᴀᴊᴏʀ ᴛᴏᴍ ꜰʟᴏᴀᴛɪɴɢ ɪɴ ᴛʜᴇ ʟᴀᴛᴇɴᴛ ꜱᴘᴀᴄᴇ 🧑🚀️
𝐆𝐥𝐨𝐛𝐚𝐥 𝐚𝐧𝐝 𝐃𝐞𝐧𝐬𝐞 𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐄𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠𝐬 𝐨𝐟 𝐌𝐚𝐣𝐨𝐫 𝐓𝐎𝐌 - 𝐎𝐩𝐞𝐧 𝐚𝐧𝐝 𝐅𝐫𝐞𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐨𝐧 @hf.co
Embedding Earth observation data with pre-trained AI models is starting to become a hot topic, for all the good reasons.
More info in thread 🧵
𝐆𝐥𝐨𝐛𝐚𝐥 𝐚𝐧𝐝 𝐃𝐞𝐧𝐬𝐞 𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐄𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠𝐬 𝐨𝐟 𝐌𝐚𝐣𝐨𝐫 𝐓𝐎𝐌 - 𝐎𝐩𝐞𝐧 𝐚𝐧𝐝 𝐅𝐫𝐞𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐨𝐧 @hf.co
Embedding Earth observation data with pre-trained AI models is starting to become a hot topic, for all the good reasons.
More info in thread 🧵
December 10, 2024 at 7:47 AM
ᴍᴀᴊᴏʀ ᴛᴏᴍ ꜰʟᴏᴀᴛɪɴɢ ɪɴ ᴛʜᴇ ʟᴀᴛᴇɴᴛ ꜱᴘᴀᴄᴇ 🧑🚀️
𝐆𝐥𝐨𝐛𝐚𝐥 𝐚𝐧𝐝 𝐃𝐞𝐧𝐬𝐞 𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐄𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠𝐬 𝐨𝐟 𝐌𝐚𝐣𝐨𝐫 𝐓𝐎𝐌 - 𝐎𝐩𝐞𝐧 𝐚𝐧𝐝 𝐅𝐫𝐞𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐨𝐧 @hf.co
Embedding Earth observation data with pre-trained AI models is starting to become a hot topic, for all the good reasons.
More info in thread 🧵
𝐆𝐥𝐨𝐛𝐚𝐥 𝐚𝐧𝐝 𝐃𝐞𝐧𝐬𝐞 𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐄𝐦𝐛𝐞𝐝𝐝𝐢𝐧𝐠𝐬 𝐨𝐟 𝐌𝐚𝐣𝐨𝐫 𝐓𝐎𝐌 - 𝐎𝐩𝐞𝐧 𝐚𝐧𝐝 𝐅𝐫𝐞𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐨𝐧 @hf.co
Embedding Earth observation data with pre-trained AI models is starting to become a hot topic, for all the good reasons.
More info in thread 🧵