</> Code with Papers by Syntology

Datasets › FCoT

FCoT (Foreground Chain-of-Thought)

Introduced by Zuyao You et al. in Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning27 Jun 2025 archive 2025-07-28

FCoT (Chain‑of‑Thought Segmentation) is replicate the step-by-step reasoning process a human annotator follows when using SAM2 to generate masks. Each example pairs an image with:

  • A bounding box locating the target object,

  • A sequence of foreground/background point prompts for refining the mask,

  • Natural language explanations (chain‑of‑thought) generated by Gemini‑2.5‑Pro summarizing the annotation process.

Homepage JSON

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Foreground Segmentation

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

ImagesTexts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

  • FCoT

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections