Quiz ngir gis mbir yu ubbeeku ci vocabulaire

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

1. Lan mooy màndargaal kàttan gi ñuy gis mbir yi ci vocabulaire bu ubbeeku?
   • Gis kategori yi nga gis ak ay boyet ci diiru tàggat yaram
   • Dafay daw gëna gaaw yeneen detektër yépp
   • Gis mbir yuñ leeral ci mbind muñ tànn, boole ci kategori yuñu gisul
   • Liggéey ci nataal yu dóomu taal kese
2. In a common embedding-based open-vocabulary detector, how are candidate regions matched to user-supplied labels?
   • By using only the region's average brightness
   • By comparing visual-region features with text embeddings in a compatible representation space
   • By choosing labels alphabetically without visual features
   • By restricting every model to the original COCO class list
3. Lan mooy jumtukaayu njëkka tàggat yaram bi gëna mëna gis vocabulaire bu ubbeeku?
   • Nataal-tekst yu yaatu yuñ jëfandikoo ngir jàng barabu làkku gis-gis
   • ab ensemble bu ndaw ci ëmb yuñ etikete bu baax
   • Enregistrement audio
   • Done yuñ bind ak loxo
4. What replaces fixed per-class classifier weights in a common embedding-based open-vocabulary design?
   • The camera's physical image sensor
   • The bounding-box coordinate system
   • All visual features with random file identifiers
   • Representations of the supplied text labels used for similarity-based classification
5. Ci yii, yan ci ñoom mooy misaalu vocabulaire bu ubbeeku wala xeetu gis-gis bu am suuf?
   • ResNet-50 kese
   • DINO
   • ab k-means script bu leer
   • makro këyitu xayma
6. What does an open-vocabulary detector's ability to use a new text category imply?
   • It guarantees accurate detection of every nameable object
   • The category must have been absent from every pretraining image and caption
   • It can attempt localization through learned vision-language associations, with accuracy requiring evaluation
   • It needs no visual features or bounding-box output
7. What output distinguishes text-conditioned object detection from simply saying that an image contains a named category?
   • Only a whole-image tag with no object location
   • Only the text prompt's word count
   • Only the image's dimensions and filename
   • Locations such as bounding boxes for the matching objects
8. Before using open-vocabulary predictions to auto-label a new domain, what should a dataset team check?
   • The boxes and labels under representative prompts, thresholds, and domain conditions
   • Assume text-conditioned predictions are automatically ground truth
   • Verify only that the label strings contain no spelling errors
   • Discard all visual inspection because image-text pretraining guarantees accuracy