What this operation supports in Google Cloud Vision
Runs object localization on an image, returning an array of detected objects along with their names and normalized bounding box coordinates.
Implementation details
Unlike label detection, this pinpoints where each object sits within the image using bounding boxes, rather than just describing the image's overall content.
Operational considerations
Iterating the result array matters since multiple objects are commonly detected per image, each needing its own bounding box handled individually.
Use cases
Detect and track products or features within images to support inventory, QA checks, or content tagging via Google Cloud Vision.
- ROI-based routing: send images with specific object counts to review queues using Google Cloud Vision.
- Product recognition in catalogs to automate enrichment with object metadata via Google Cloud Vision.
- Quality assurance: flag images with missing expected objects in Google Cloud Vision pipelines.
- Automated tagging for media libraries based on detected objects using Google Cloud Vision.
- Spatial analysis: map object coordinates to scene layouts in automation flows with Google Cloud Vision.