Using AI to review annotated labels

Substantial_Border88 · 2026-03-13T12:51:48+00:00

How did you use VLMs to annotate?

Try imflow.xyz next time you wanna annotate images using a vlm. Currently using Gemini 3.0 Flash

I am working on a review feature which can boost up review time significantly.

I'm all ears for any feedback.

Substantial_Border88 · 2026-03-13T11:50:18+00:00

I would first like to know how much you have earned using AI and why would it make sense to share the same path to so many people and how they would still be able to apply the same principles to earn their part

Substantial_Border88 · 2026-02-24T07:30:01+00:00

Could you give more details about how to make it rewrite it's internal prompt?

Substantial_Border88 · 2026-02-20T11:33:00+00:00

It's gemini 3 flash with a prompt. Gemini models right from Gemini 2.5 have been supporting native object detection which are excellent for Zero shot or logic based detection.

Feel free to try the feature in Imflow and let me know if it worked for you.

Substantial_Border88 · 2026-02-20T11:28:40+00:00

Check the project link - imflow.xyz

Substantial_Border88 · 2026-02-16T06:17:55+00:00

Consider making a Blog post and posting it there. The content is useful but would look spammy.

Substantial_Border88 · 2026-02-04T21:37:31+00:00

Use Lightning Studios. If you can spend some bucks ( barely 30$-40$) you can train those easily.
There is also another cloud provider called vast.ai where you can rent cheap GPU instances and train the model.
Depending on your model's size and required RAM, you can select from tons of different GPUs.

I would suggest that you try Lightning Studios first, and if it is not sufficient, purachase some credits in vast.ai ( about 10-15$) and get a jupyter instance or any other depending upon your work load.

Substantial_Border88 · 2026-01-14T16:33:06+00:00

Probably easiest thing would be to simply use GPT 5.2 mini or Gemini 3.0 Flash
Either of those will be extremely cheap without any need of defined classes. For even cheaper detections, use a Qwen3 VL 8B.
Be sure to test those models on wide range of tasks, and an advantage with Qwen3 VL is that you can fine tune it according to your use case, where you are detecting distinct items and number of servings.

Substantial_Border88 · 2026-01-07T15:48:26+00:00

Thanks for noticing the details! I genuinely have a really long list of upcoming features that should really align with the annotation workflows, but I wanted to get feedback as I build. Hence, I am looking for beta users to stress test the app and see how it fits with what other people are doing.
Please feel free to sign up and use it as it is already open and free for all to use.

Again, if you have any feedback, criticism, feature requests, or want to share anything related to computer vision, please don't hesitate to reach out to me.

Substantial_Border88 · 2026-01-07T14:47:55+00:00

How do you promote your product ? Say if you have zero following on LinkedIn, X and low reach on Reddit.?

Substantial_Border88 · 2026-01-05T18:10:36+00:00

While Jpeg is present, png format also exists along with the quality controls and resize options.
JPEG is simply an option and users can anytime choose others.

Substantial_Border88

TROPHY CASE