Image
Florence-2 Open-Vocabulary Detection
Search an image for a named object with Florence-2 open-vocabulary detection.
- Image editing
Sign in to create. Review the credit cost in the studio before running.
Catalog preview for Florence-2 Open-Vocabulary Detection. Review your own result before publishing.
A starting point.
Search an image for a named object with Florence-2 open-vocabulary detection. Choose a concrete object description that you can verify visually.
Before you publish.
Review every detection against the source. Check false matches and omissions; a model label does not establish that an object is present.
Review the quote before running. A failed generation releases its reserved credits. Download the results you want to keep; stored media is retained for 30 days.
Settings and model questionsCheck the available settings and guidance when preparing your input.
Inputs and settings
Send image_url and your object description in text_input.
Inspect results.bboxes with their labels. If the target is ambiguous, revise the description and compare the new regions rather than accepting the first match.
Inputs, all modes and APIModel IDs, current input limits and the API generation workflow.
Supported inputs
These fields come from the current studio form for florence-2-large/open-vocabulary-detection. Other modes may require different inputs.
| Input | Type | Requirement |
|---|---|---|
image_url | Text | Required |
text_input | Text | Required |
Check the full model schema for all options and cross-field rules. Request a quote for your selected settings before generating.
Use Florence-2 Open-Vocabulary Detection through the API.
Start with this model ID for the endpoint featured on this page:
florence-2-large/open-vocabulary-detection
Input requirements belong to this model ID. Check a different mode’s schema separately when switching modes.
Check the current model schema for supported inputs and options. Other tasks may use different model IDs.
From quote to result.
Request a credit quote for your input and settings before submitting a generation. A sample output or the price of another model is not a quote for your request.
Follow the generation workflow, then poll the job for its status and result. The API and studio use the same balance.