REPOGEO REPORT · LITE

longzw1997/Open-GroundingDino

Default branch main · commit d248268a · scanned 6/13/2026, 8:56:59 AM

GitHub: 833 stars · 144 forks

AI VISIBILITY SCORE

28 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface longzw1997/Open-GroundingDino, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition the README's opening to highlight training/fine-tuning capabilities

Why:

CURRENT

This is the third party implementation of the paper **Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection** by [Zuwei Long]() and Wei Li. **You can use this code to fine-tune a model on your own dataset, or start pretraining a model from scratch.[Supported Features](#supported-features)

COPY-PASTE FIX

This repository provides an accessible and user-friendly third-party implementation of **Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection**. Unlike the official release, this project fully supports **fine-tuning Grounding DINO models on your custom datasets and pre-training from scratch**, making advanced open-set object detection more practical for researchers and developers.

mediumtopics#2

Add more specific topics to improve categorization

Why:

CURRENT

object-detection, open-world, open-world-detection, vision-language

COPY-PASTE FIX

object-detection, open-world, open-world-detection, vision-language, grounding-dino, fine-tuning, pre-training, object-detection-framework

mediumhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://arxiv.org/abs/2303.05499
```

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface longzw1997/Open-GroundingDino

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

open-mmlab/mmdetection

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

open-mmlab/mmdetection · recommended 1×
facebookresearch/detectron2 · recommended 1×
huggingface/transformers · recommended 1×
YOLOv5/YOLOv8 (Ultralytics) · recommended 1×
OpenMMLab's Open-World Object Detection (OWOD) projects · recommended 1×

CATEGORY QUERY
Seeking a framework to fine-tune open-world object detection models with custom data.
you: not recommended
AI recommended (in order):
1. MMDetection (open-mmlab/mmdetection)
2. Detectron2 (facebookresearch/detectron2)
3. Hugging Face Transformers (huggingface/transformers)
4. YOLOv5/YOLOv8 (Ultralytics)
5. OpenMMLab's Open-World Object Detection (OWOD) projects
6. TensorFlow Object Detection API (tensorflow/models)
AI recommended 6 alternatives but never named longzw1997/Open-GroundingDino. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools enable grounded pre-training for open-vocabulary object detection?
you: not recommended
AI recommended (in order):
1. CLIP
2. GLIP
3. OWL-ViT
4. DINO / DINOv2
5. MDETR
6. Florence
7. CoCa
AI recommended 7 alternatives but never named longzw1997/Open-GroundingDino. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of longzw1997/Open-GroundingDino?
pass
AI named longzw1997/Open-GroundingDino explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts longzw1997/Open-GroundingDino in production, what risks or prerequisites should they evaluate first?
pass
AI named longzw1997/Open-GroundingDino explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo longzw1997/Open-GroundingDino solve, and who is the primary audience?
pass
AI did not name longzw1997/Open-GroundingDino — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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HTML

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite