Today we're announcing the release of "Kaputt", a breakthrough real world dataset for visual defect detection, 40x larger than SoTA. Spoiler: Even advanced AI models perform barely above random chance. Check out our blog post and paper #cv#iccv@ICCVConference@AmazonScience
Announcing Kaputt: a large-scale dataset for visual defect detection in retail logistics with 238,421 images across 48,376 unique items – 40x as large as current benchmarks:
Attending #CVPR2026 in Denver? We'll be at booth 349 showcasing our latest research with live demos throughout the conference. Stop by to meet our scientists and see their work in action.
Check out the full booth schedule:
Giving a keynote at the VAND 4.0 workshop at CVPR this week! 🎤
Talking about our Kaputt dataset for visual defect detection + the clever ideas challenge participants came up with to tackle it.
📅 June 4th, 1–6 PM 📍 Room 601, Denver (+ Zoom)
See you there! #CVPR2026
Heading to CVPR in Denver this week! ✈️ First one since 2022 - can't wait to wallow in posters and heated science debates
(Photo attached as proof of what we all looked like back then… 😷)
Hit me up if you're around! ☕
#CVPR2026#ComputerVision#AgenticAI#AnomalyDetection
🚀 Get ready to build anomaly detection models that actually work in production! And win a share of $25,500 USD total prize pool! VAND 4.0 @CVPR 2026. Participate in the Kaputt2 Challenge! https://t.co/vo9vWs0DP9
Introducing NotebookLM for arXiv papers 🚀
Transform dense AI research into an engaging conversation
With context across thousands of related papers, it captures motivations, draws connections to SOTA, and explains key insights like a professor who's read the entire field
Mobile ALOHA's hardware is very capable. We brought it home yesterday and tried more tasks! It can:
- do laundry👔👖
- self-charge⚡️
- use a vacuum
- water plants🌳
- load and unload a dishwasher
- use a coffee machine☕️
- obtain drinks from the fridge and open a beer🍺
- open doors🚪
- play with pets🐱
- throw away trash
- turn on/off a lamp💡
Project website: https://t.co/9rzIX8wLEp
Co-lead @tonyzzhao, advised by @chelseabfinn
(amazing photographing from @qingqing_zhao_ )
Introducing Robo360 dataset 🚀, the first real-world omnispective multi-view and multi-material robotic manipulation dataset. Robo360 captures synchronized multi-modal robot-object interaction data (video, audio, proprioception, control) to facilitate research in dynamic novel-view synthesis, robot learning, physics understanding, world models, and more! Code and data coming soon!
We're hiring! My science team at Amazon Fulfillment Technologies and Robotics in Berlin is hiring excellent scientists to work on visual defect detection models that see millions of images every day, delighting millions of customers. Apply! @AmazonScience
https://t.co/hxu4ct9Qdd
Finally got to see one of those Parisian bed bugs everyone's been so afraid of. Looks pretty cute to me! Thanks @huggingface for showcasing them #ICCV2023
Photo credit: @Faty_404
Overwhelmingly inspiring experience at #ICCV2023 so far! I'm still available for coffee chats throughout the week, dont hesitate to drop me a PM. You can also catch me at the @AmazonScience booth starting 18:30 tonight!
What an inspiring day 1 at #ICCV2023! Alyosha Efros' talk at the Quo Vadis workshop was both entertaining and insightful.
I'm open to coffee chats all week if you want to talk e.g. about data-centric AI, anomaly detection and science internships and opportunities at Amazon!