{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreibfqzpx4qlvp5ud7jnhbieamitcaoutbj47hiqqudyxjvwc2x6ija",
    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3mms6znrz7l72"
  },
  "path": "/t/medical-image-segmentation-ai-built-from-abidjan-sam-2-gradio/176248#post_1",
  "publishedAt": "2026-05-26T22:57:13.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "Medical Segmentation Ai - a Hugging Face Space by sidiki07"
  ],
  "textContent": "Hey everyone!\n\nI’m Sidiki, a 20yo Civil Engineering student from Abidjan, Côte d’Ivoire\nI taught myself AI and just deployed my first medical imaging app!\n\nMedical Image Segmentation AI\n→ Upload any X-ray, MRI or scan\n→ SAM 2 automatically segments regions of interest\n→ Export JSON annotations ready for AI training datasets\n\nTry it here: Medical Segmentation Ai - a Hugging Face Space by sidiki07\n\nI’m looking for feedback and potential collaborations with\nresearchers working on medical imaging datasets\n\nWhat do you think? Any suggestions to improve it?",
  "title": "Medical Image Segmentation AI built from Abidjan 🇨🇮 - SAM 2 + Gradio"
}