Grounding Dino notebook using MMDetection
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Description
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- I have searched the Roboflow Notebooks issues and found no similar bug report.
Description
Hello, I saw your interesting colab to run Zero-Shot Object Detection with Grounding DINO
MMDetection now supports Grounding Dino, so I created a simplified version of Colab, to run object detection using this library. It's much simpler, I could run with dog-3.jpeg image with just 5 lines of code.
It seems to perform even better, using prompt chair with man sitting on it it detect only the chair, not even the man.
You can update Colab using MMDetection, to simplify the process. If you need any help, I'm here.
Additional
No response
Are you willing to submit a PR?
- Yes I'd like to help by submitting a PR!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Open notebooks/zero-shot-object-detection-with-grounding-dino.ipynb and compare its current Colab flow with the proposed MMDetection approach. Run the notebook with the dog-3.jpeg example and the “chair with man sitting on it” prompt. Done means the notebook uses MMDetection for a simpler Grounding DINO object-detection workflow and produces the expected detections.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- computer-vision, documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100