quiz bu lëkkale ak tegtal · Diggante Niveau

Segment Quiz Modèle

Xam segmentation nataal ak wideo ci SAM bi njëkk ak SAM 2 extension bi ci topp, done ak pexe mémoire.

Yooni njiit yu jëm ciSegment lu nekk model
Laaj 1 de 8

Ban xalaat moo tax SAM nekk 'modèle fondation' ci segmentation?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Ban xalaat moo tax SAM nekk 'modèle fondation' ci segmentation?
    • Dafay jàppee segmentation ni liggéey buñu mëna laaj buy yamale mbir yuñ gisul
    • Ci kanam yi kese lay dox
    • Dafay laaj ñu tàggataat nataal bu bees bu nekk
    • Dafay génne ay boyet yuy tënk, du musa maske
  2. Lu tollu ci ban yaatuwaayu SA-1B lañuy jëfandikoo ngir tàggat SAM?
    • Lu tollu ci 1000 mask
    • Lu ëppu benn miliyaar ciy mask ci 11 milioŋ ciy nataal
    • Lu tollu ci benn milioŋ ciy mask
    • 000 mask
  3. Lan moo tax SAM xaaj architecture bi ci encodeur nataal bu diis ak encodeur/decodeur bu woyof?
    • Ngir tax tàggat yaram mënatul am
    • Ngir moytu jëfandikoo benn reso neuronal
    • Kon benn nataal mën nañu ko jëfandikoowaat ngir ay laaj yu bari yuy weccoo xalaat ci jamono dëgg
    • Ndax mask yi ci CPU bi kese lañu leen di xayma
  4. naka lay def ba SAM mëna jëflante ak laaj bu leerul, lu melni benn klik bu mëna tekki mbir yu bari?
    • Dafa bañ génne dara
    • Saa yu nekk dafay tànn mbir mi gëna mag
    • Dafay laaj jëfandikukat bi mu bind ay leeral
    • Dafay wax luy waaja am mask yu bari yu baax ba noppi tànn leen ci wóolu seen bopp
  5. Ban xeetu yaxu ndigg la SAM di jëfandikoo ngir enkode nataalu dugal bi?
    • Soppikatu gis-gis (ViT)
    • Reseau neuronal buy baaxoo
    • Garab buy jël dogal
    • masin vecteur buy jàppale
  6. Ban kàttan bu mag la SAM 2 yokk ci 2024?
    • Transkripsioŋ audio
    • Segmenter ak topp mbir ci biir kadre wideo
    • Defar ay mbind yu kawe
    • Jàppale impression 3D
  7. What role did the data engine play in the original SAM project?
    • It replaced the image encoder with a text-only model
    • It automatically verified every mask as medically correct
    • It iteratively combined model-assisted annotation and human annotation to build SA-1B
    • It generated labels without human or model assistance
  8. How does SAM 2 use memory for video segmentation?
    • It discards all frames after processing each one
    • It predicts only a video-level class label
    • It replaces the prompt with an audio transcript
    • It stores information from prior frames to help segment the object in later frames