GPT-6 Astra just solved data labelling. 13,038 annotations across 81 frames of parcel-sorting warehouse CCTV generated with Higgsfield. The use cases are endless: track parcel handoffs, monitor worker movement with cart traffic, and spot bottlenecks.

Why do we need GPT-6 Astra for this? OpenCV or any small vision transformer model can easily do this

Its an AI generated video the packages shrink and disappear on the belt. It is not live annotating real video. (watch 2nd belt from the bottom, in the center of the belt where packages are coming from both direction...)

"The use cases are endless:" Like identifying problematic political beliefs and connecting those who hold them to bank accounts and Flock cameras.

you guys realize that this is just open CV right?

annotations are easier to trust when their source frames stay verifiable

This looks noisy af for labels - we are getting close though!

stop advertising higgsfield as if you are the one who is behind this technology 😭😭

AI should NEVER be used to track people. Tracking employees movements is pure North Korean evil

13,038 labels and not one accuracy number—just warehouse theater with a leaderboard-shaped screenshot.

Some people have been working on this all their life for Amazon, etc…

Isn't this sort of pointless if the IDs change every time a box is obstructed by a person?

Higgsfield loves to stick their name on top of AI models they had no part in making.

"generated with higgsfield", come on, you just called an api

Yolov1 could do this 10+ years ago.

Yooo that's beautiful. Eliminate tedious tasks from humanity.

13,000+ annotations across 81 frames is insane density how is the spatial tracking handling object occlusion when parcels overlap in motion? 👁️⚙️

El flex real de Astra no es el benchmark. Es esto: etiquetar CCTV de almacén a escala sin un ejército de labelers.

Now do it thousands of times cheaper with @webuildscore

Is this real time?

@grok i work at a 200k sq ft distribution center. what is the infra, software, tech stack required to roll out a project where i can have intelligent track like this for transparent real time performance insights. Camera's, on-prem ai models?, how feasible is it, and what cost?

Automating 13,038 annotations across warehouse footage is a massive labeling efficiency win

The fact this can be done from just a few frames is insane

Is this counting the boxes or actually showing read IDs of the boxes.

This is seriously impressive! The data-labeling workflow looks incredibly powerful. I’d love to collaborate and create engaging content around Higgsfield AI. Let’s work together!

I won't call it solved because the unit economics would be very bad with using Astra to do annotations....not a big fan of calling something is solved without considering cost..

13K annotations from warehouse video is seriously impressive.

This is huge automating 13000 plus annotations like that opens up so many possibilities for logistics and operations congrats on pushing it forward

Just cure cancer.

flock for parcels

Automated labeling could unlock massive operational insights.

Dude

I wonder how much does it cost to run

those 13,038 annotations could revolutionize logistics and efficiency, wow!

13k labels from video 😳 Endless ops use cases. Wild.