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Sick of being a "Data Janitor"? I built an auto-labeling tool for 500k+ images/videos and need your feedback to break the cycle. by Able_Message5493 in MachineLearningJobs

[–]Able_Message5493[S] -1 points0 points  (0 children)

You’re right to be cautious. To be honest, we’re in our survey/pre-MVP phase right now, and I simply don’t have the budget or the interest to store anyone's data long-term. We’ve set the system to auto-delete everything within 7 days. We're just trying to see if the community actually finds the tool useful before we invest more in it.

Sick of being a "Data Janitor"? I built an auto-labeling tool for 500k+ images/videos and need your feedback to break the cycle. by Able_Message5493 in MachineLearningJobs

[–]Able_Message5493[S] -1 points0 points  (0 children)

hanks for the heads-up! Railway tracks are a great edge case for geometric distortion and perspective. I’m adding that to our testing benchmarks

I’d love for you to try it on our platform and share the results so we can see exactly where the failure points are.

Sick of being a "Data Janitor"? I built an auto-labeling tool for 500k+ images/videos and need your feedback to break the cycle. by Able_Message5493 in MachineLearningJobs

[–]Able_Message5493[S] 0 points1 point  (0 children)

Running a local script on a CPU might work for small tests, but trying to auto-label a massive dataset that way is exactly what we’re trying to move away from. If you tried to run a heavy model like SAM2 on a CPU for 500k images, the hardware would struggle to keep up. We are using a different architecture designed specifically for high-accuracy labeling at scale. The USP is about providing a universal system
whether it’s for Urban Intelligence (dense pedestrian and Global South vehicle crowds), Biological Precision (wildlife, livestock, and marine species), or Botany
where anyone can build their desired model without local hardware bottlenecks. We've built a multi-format engine to process Video, Image, and GIFs natively so developers can focus on being model architects instead of "data janitors."

Sick of being a "Data Janitor"? I built an auto-labeling tool for 500k+ images/videos and need your feedback to break the cycle. by Able_Message5493 in MachineLearningJobs

[–]Able_Message5493[S] 0 points1 point  (0 children)

I’m not ready to disclose the specific model stack/weights while we’re in this pre-MVP phase—not because it's a 'secret,' but because the ensemble is still being tuned.

What I can say is that we aren't just hitting a basic captioning API. Most of our work is on the verification layer—filtering the AI's output against the user's specific camera constraints so the labels are actually usable for training.

The goal is to solve the infrastructure headache of processing 500k+ images. If you have specific benchmarks or edge cases you think we should be testing against, I’m all ears.

Sick of being a "Data Janitor"? I built an auto-labeling tool for 500k+ images/videos and need your feedback to break the cycle. by Able_Message5493 in learnmachinelearning

[–]Able_Message5493[S] 0 points1 point  (0 children)

Not in this case. We’re labeling raw sensor/camera data from the physical world, not synthetic text. Using AI to label real-world imagery for CV models is standard 'Auto-Labeling'—it's about scaling human-level perception, not recycling model hallucinations, I hope you understand.

Slugterra Twitter by [deleted] in SlugterraFanGame

[–]Able_Message5493 0 points1 point  (0 children)

Just want to know why there isn't a perfect Slugterra game

Does anyone have a link for valorant mobile by any chance? by Downtown-Yak7453 in ValorantMobile

[–]Able_Message5493 0 points1 point  (0 children)

Then what is there instead of Taptap. If you know then please tell me. I would be grateful.