This is really cool. Congrats guys. Just because I'm curious, how does the market for this look? How much revenue are you saving your customers with this? Also, surely this is very applicable in many many industries, do you have expansion plans?
Nevertheless, this is awesome and I wish I'd built it :)
1 + 4) If the bbox fit is accurate, we are below 1.5 inch MAE today. Improving bbox fit accuracy is where most of our effort goes. We're confident this gets to <1 inch at full coverage — the tail is bounded by data and model scale, both of which we're actively closing.
2) Not necessarily. Models like MapAnything/MoGe predict calibration params directly, and GeoCalib is good for distortion coefficients. We still calibrate manually on-site, but mainly to validate these models actually hold up in real warehouses and collect our own calibration training data. We are confident the future is calibration-free.
3) Carriers lose money every day because shippers understate dimensions, and LTL is priced by volume. Every understated shipment is lost revenue. Thats the wedge we're going after.
This is really cool. Congrats guys. Just because I'm curious, how does the market for this look? How much revenue are you saving your customers with this? Also, surely this is very applicable in many many industries, do you have expansion plans?
Nevertheless, this is awesome and I wish I'd built it :)
Interesting app of CV in OR.
Questions: - what is the measurement precision?
- do you need calibration? How do you do it in production?
- what it is the root problem you are trying to solve?
- what is your hypothesis about your solution- quantitatively?
1 + 4) If the bbox fit is accurate, we are below 1.5 inch MAE today. Improving bbox fit accuracy is where most of our effort goes. We're confident this gets to <1 inch at full coverage — the tail is bounded by data and model scale, both of which we're actively closing.
2) Not necessarily. Models like MapAnything/MoGe predict calibration params directly, and GeoCalib is good for distortion coefficients. We still calibrate manually on-site, but mainly to validate these models actually hold up in real warehouses and collect our own calibration training data. We are confident the future is calibration-free.
3) Carriers lose money every day because shippers understate dimensions, and LTL is priced by volume. Every understated shipment is lost revenue. Thats the wedge we're going after.
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Oh shoot - where did it happen? Can you try again?