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Robert Huerta
GTM @ Labelbox
Robert Huerta is a Product Growth Specialist at Labelbox, a company that provides data labeling and model development solutions for machine learning and AI applications.12
Some key points about Robert Huerta's professional background:
- He is experienced in leading cross-functional teams to build and scale products.2
- His role involves showcasing Labelbox's latest products that help accelerate computer vision use cases through AI-assisted data labeling.3
- He has expertise in helping teams get more value from unstructured data using Labelbox's tools.3
- Robert is based in Texas, USA.4
While specific details about his full professional history are limited in the given search results, his position at Labelbox indicates he likely has experience in areas such as:
- Machine learning and AI technologies
- Product development and growth strategies
- Data labeling and annotation workflows
- Computer vision applications
Robert's LinkedIn profile can be found at linkedin.com/in/robert-huerta-4691a954, where more detailed information about his background and experience may be available.
Highlights
How to truly measure the performance of DALL-E 3, Stable Diffusion, and Imagen 2? 🤔
We conducted a study to try to answer this question! 😀
Our study combined human preference ratings and automated metrics to comprehensively evaluate key dimensions like prompt alignment, photorealism, and image quality. ⚗ ⚖ 🔬📓 👩🔬👨🔬
Key Takeaways: 💡 Stable Diffusion: Human eval 👍; technical image quality 👎 💡 DALL-E: Prompt interpretation 👍; photorealism 👎 💡 Imagen 2: Technical image quality 👍; prompt alignment 👎
How do these findings align with your experience using these models? 🤔
Our analysis explores the balance between human perception and technical metrics in AI-generated imagery. https://lnkd.in/gBaZSnwn
#genai #imagen #dalle3 #stablediffusion #texttoimage #generativeai #ai #foundationmodels #rlhf
Our image editor just got better... 😶👇
🎉 We're happy to announce that we upgraded to our Auto-Segment tool! 🎉
This upgrade, powered by Meta's Segment Anything 2.0 (SAM 2), allows Labelbox users to create masks with unprecedented speed and precision. 🎯
SAM 2 sets a new standard in computer vision, excelling in zero-shot segmentation tasks for images and videos and building on the success of its predecessor with improved speed and accuracy.
Check out our video demonstration: https://lnkd.in/gPzieEza
#genai #computervision #SAM2 #ai #machinelearning
