| { |
| "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" |
| } |
|
|
