{
  "id": "ai_ml_existing_20/sam2",
  "category": "ai_ml_existing_20",
  "category_display_name": "Existing AI/ML Paper Set",
  "title": "sam2",
  "paper_pdf": "eval/EvaData/ai_ml_existing_20/sam2/paper.pdf",
  "source_kind": "local_existing_open_design_paper",
  "page_count": 42,
  "file_size_bytes": 12709657,
  "sha256": "664f5c4254db441569ecfe36a2a2fa91a1ecec5f4d31b3bcc5d451193efc2c0d",
  "selection_notes": "Original 20 OpenDesign PDFs copied from data/**/paper.pdf; author posters intentionally omitted.",
  "first_page_text_sample": "SAM 2: Segment Anything in Images and Videos\nNikhila Ravi∗,†, Valentin Gabeur∗, Yuan-Ting Hu∗, Ronghang Hu∗, Chaitanya Ryali∗, Tengyu Ma∗,\nHaitham Khedr∗, Roman Rädle∗, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan\nVasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollár†, Christoph Feichtenhofer∗,†\nMeta FAIR\n∗core contributor, †project lead\nWe present Segment Anything Model 2 (SAM 2), a foundation model towards solving promptable\nvisual segmentation in images",
  "source_local_path": "data/human_effort_gold_v1/sam2/paper.pdf"
}