---
library_name: kerasformers
pipeline_tag: zero-shot-object-detection
license: apache-2.0
tags:
- keras
- kerasformers
- grounding-dino
- tf
- jax
- pytorch
---

# grounding_dino_tiny

Grounding DINO performs open-set, text-grounded object detection: a Swin backbone and a BERT text encoder feed a cross-modality transformer that grounds free-form text prompts to boxes.

Pure-Keras 3 model in [kerasformers](https://github.com/IMvision12/KerasFormers). The repo is self-describing: `kf_config.json` holds the architecture and `tokenizer.json` the text tokenizer, so it loads by its Hub repo id (weights download automatically):

```python

from kerasformers.models.grounding_dino import (

    GroundingDinoDetect,

    GroundingDinoProcessor,

)

model = GroundingDinoDetect.from_weights("kerasformers/grounding_dino_tiny")

processor = GroundingDinoProcessor.from_weights("kerasformers/grounding_dino_tiny")

inputs = processor(images=image, text="a cat. a remote control.")

outputs = model(inputs)  # logits + pred_boxes

```