iMerit Technology

Expert-labeled data for AI/ML – powering CV, NLP, AV, Med AI & more | Trusted by Fortune 500s

[iMerit Technology @iMeritDigital]

Crops don't look the same throughout the growing season, and CV models need training data that reflects that. Learn how multi-stage crop annotation supports reliable precision spraying:
https://t.co/eTy3ytrgGX
#AgricultureAI #ComputerVision #Agritech

[iMerit Technology @iMeritDigital]

Robotics Summit & Expo 2026 brought together developers, engineers, founders, and industry leaders exploring the future of robotics and AI.

From autonomy to real-world deployment; Booth #629 was where the conversations happened.
#RoboticsSummit #Robotics #AI

[iMerit Technology @iMeritDigital]

@Robotics_Summit & Expo 2026 brought together developers, engineers, founders, and industry leaders exploring the future of robotics and AI. From autonomy to real-world deployment; Booth #629 was where the conversations happened.

#RoboticsSummit #Robotics #AI

[iMerit Technology @iMeritDigital]

Most AV sensor data captures scenarios models already handle well. Sensor data triage helps prioritize high-value edge cases, reducing annotation effort and improving training efficiency.

Visit us at MOVE London, Booth #B28

https://t.co/zU5mBgsAWK
#MOVELondon #AVTraining

[iMerit Technology @iMeritDigital]

iMerit secured the #1 position in the CVPR 2026 Auto-Annotation Challenge. Congrats to Gunjan Kholapure for presenting the winning submission.

AI systems learned from expert-crafted annotation guidelines to generate annotations automatically.

#CVPR2026 #ComputerVision #LiDAR

[iMerit Technology @iMeritDigital]

When autonomous perception models underperform, adding more data isn't always the answer. The real gap is often missing edge-case LiDAR scenarios.

Learn why targeted coverage leads to stronger real-world performance: https://t.co/2mvkiZW9TT #LiDAR #AutonomousSystems

[iMerit Technology @iMeritDigital]

Raffle day two and we're giving away something very cool. Visit us at Booth #535 for a chance to win a Meta Quest 3S 128GB.

Note: You must be present at the time of the raffle to claim your prize.
#CVPR2026 #iMerit #ComputerVision #DataAnnotation

[iMerit Technology @iMeritDigital]

We're at CVPR and so is our raffle. Stop by iMerit at Booth #535 for a chance to win the LEGO Mandalorian N-1 Starfighter.

Yes, it's as cool as it looks!

Note: You must be present at the time of the raffle to claim your prize.
#CVPR2026 #iMerit #ComputerVision #DataAnnotation

[iMerit Technology @iMeritDigital]

Heading to MOVE 2026? iMerit brings deep AV data annotation expertise across sensor fusion, 3D point clouds, and edge case labeling. Meet our team at Booth B28, ExCeL London, June 17–18.

#MOVE2026 #AutonomousVehicles #AVData

@mobilitymakers

[iMerit Technology @iMeritDigital]

In MIT Sloan Management Review India, iMerit Founder & CEO Radha Basu highlights a critical challenge for healthcare AI:

“Healthcare AI cannot rely solely on internet-scale data.”

Read more: https://t.co/wdNmL8O9hk

#AIRFBengaluru #MITSMRIndia #HealthcareAI #AIAdoption

[iMerit Technology @iMeritDigital]

iMerit is currently #1 on the CVPR 2026 Auto-Annotation Challenge leaderboard. Join Gunjan Kholapure at the AutoExpert Workshop as he presents iMerit's top-ranked submission.

June 3 | 15:45 MDT | Room 711
Colorado Convention Center, Denver
#CVPR2026 #ComputerVision #LiDAR

[iMerit Technology @iMeritDigital]

Robotics Summit & Expo 2026 brought together leaders across robotics, AI, and automation to explore advances in perception, autonomy, and #PhysicalAI.

Thanks to everyone who connected with the iMerit team during the event. #RoboticsSummit #Robotics #AI #ComputerVision

[iMerit Technology @iMeritDigital]

Healthcare AI needs usable clinical data, but privacy and compliance risks remain a challenge.

Learn how to build robust de-identification pipelines, implement human QA, and reduce re-identification risk.
https://t.co/wsMCGdlBUw

#HealthcareAI #MedicalAI #HIPAA

[iMerit Technology @iMeritDigital]

#HealthcareAI needs usable medical data, but PHI risks can slow AI pipelines.

iMerit’s Medical Data De-Identification solution helps teams prepare compliant, AI-ready datasets faster with automated #PHI removal + optional human review: https://t.co/FiAF0IAvfN

#Deidentification

[iMerit Technology @iMeritDigital]

CVPR attendees, this one's for you.
Stop by iMerit Booth #535 and enter our raffle to win a LEGO Star Wars™ N-1 Starfighter™ set or a Meta Quest 3S.

Winners announced June 5 & 6 at 5 PM.
Note: Must be present during the raffle drawing to win.

#CVPR2026 #AI #Robotics #GenAI

[iMerit Technology @iMeritDigital]

Heading to CVPR 2026? Meet the iMerit experts in robotics, GenAI, multimodal evaluation, and physical AI systems.

Find us at Booth #535 | June 3–7 | Denver, CO #CVPR2026 #PhysicalAI #Robotics #MultimodalAI

[iMerit Technology @iMeritDigital]

Healthcare AI depends on usable clinical data, but de-identification now goes far beyond removing names or IDs. Challenges include:
• Re-identification risks
• AI-assisted PHI detection
• Maintaining clinical utility

Read here: https://t.co/P7MUPgyfrk
#HealthcareAI #Deid

[iMerit Technology @iMeritDigital]

Heading to @Robotics_Summit & Expo? Find iMerit at Booth 629 to talk robotics data workflows for real-world deployment; from 3D point clouds and sensor fusion to object tracking and egocentric video data collection.

https://t.co/dEvissuRju

#Robotics #EmbodiedAI #RoboticsSummit

[iMerit Technology @iMeritDigital]

Weeding robots rarely fail because of the algorithm. They fail because training data was labeled without agronomy expertise. Distinguishing barnyard grass from rice seedlings is what makes field performance possible.
Read: https://t.co/LiQRtW1fNW
#AgriTech #PrecisionAgriculture

[iMerit Technology @iMeritDigital]

#EmbodiedAI needs data from inside the action. Egocentric video helps models learn how humans interact with objects & environments in the real world, but collecting scalable, high-quality training data is complex. How iMerit approaches it: https://t.co/ArbLy0Kmdp
#datacollection