Add Florence-2 documentation

docs/foundation/florence2.md

@@ -0,0 +1,45 @@
+<a href="https://blog.roboflow.com/florence-2/" target="_blank">Florence-2</a> is a multimodal model developed by Microsoft Research.
+
+You can use Florence-2 for:
+
+1. Object detection: Identify the location of all objects in an image. (`<OD>`)
+2. Dense region captioning: Generate dense captions for all identified regions in an image. (`DENSE_REGION_CAPTION`)
+3. Image captioning: Generate a caption for a whole image. (`<CAPTION>` for a short caption, `<DETAILED_CAPTION>` for a more detailed caption, and `<MORE_DETAILED_CAPTION>` for an even more detailed caption)
+4. Region proposal: Identify regions where there are likely to be objects in an image. (`REGION_PROPOSAL`)
+5. Phrase grounding: Identify the location of objects that match a text description. (`CAPTION_TO_PHRASE_GROUNDING`)
+6. Referring expression segmentation: Identify a segmentation mask that corresponds with a text input. (`REFERRING_EXPRESSION_SEGMENTATION`)
+7. Region to segmentation: Calculate a segmentation mask for an object from a bounding box region. (`REGION_TO_SEGMENTATION`)
+8. Open vocabulary detection: Identify the location of objects that match a text prompt. (`OPEN_VOCABULARY_DETECTION`)
+9. Region to description: Generate a description for a region in an image. (`REGION_TO_DESCRIPTION`)
+10. Optical Character Recognition (OCR): Read the text in an image. (`OCR`)
+11. OCR with region: Read the text in a specific region in an image. (`OCR_WITH_REGION`)
+
+You can use Inference for all of the Florence-2 tasks above.
+
+The text in the parentheses are the task prompts you will need to use each task.
+
+### How to Use Florence-2
+
+Create a new Python file called `app.py` and add the following code:
+
+```python
+from inference import get_model
+
+model = get_model("florence-2-base", api_key="API_KEY")
+
+result = model.infer("https://media.roboflow.com/inference/seawithdock.jpeg", prompt="<CAPTION>")
+```
+
+Above, replace `<CAPTION>` with the name of the task you want to use.
+
+Replace `API_KEY` with your Roboflow API key. [Learn how to retrieve your Roboflow API key](https://docs.roboflow.com/api-reference/authentication#retrieve-an-api-key)
+
+To use PaliGemma with Inference, you will need a Roboflow API key. If you don't already have a Roboflow account, <a href="https://app.roboflow.com" target="_blank">sign up for a free Roboflow account</a>.
+
+Then, run the Python script you have created:
+
+```
+python app.py
+```
+
+The result from your model will be printed to the console.

mkdocs.yml

@@ -49,6 +49,7 @@ nav:
           - CLIP (Classification, Embeddings): foundation/clip.md
           - CogVLM (Multimodal Language Model): foundation/cogvlm.md
           - DocTR (OCR): foundation/doctr.md
+          - Florence-2: foundation/florence2.md
           - Grounding DINO (Object Detection): foundation/grounding_dino.md
           - L2CS-Net (Gaze Detection): foundation/gaze.md
           - PaliGemma: foundation/paligemma.md