▲ 1 r/LLM
Here are some pictures of a robot costume wearing high-specularity edge-case mirror suit, a dataset (425 RAW/JPEGs) for benchmarking CV & depth-estimation algorithms against extreme mirror reflections
u/5500kelvin — 8 days ago
u/5500kelvin
r/janesaddiction r/LocalLLM r/LLM r/ROS r/datasets r/providence r/MetalsOnReddit r/LiDAR r/ScrapMetal r/RedHotChiliPeppers r/analog r/MachineLearning
▲ 15 r/MachineLearning
Here are some pictures of a robot costume wearing high-specularity edge-case mirror suit, a dataset (425 RAW/JPEGs) for benchmarking CV & depth-estimation algorithms against extreme mirror reflections [D]
Purpose-built to stress-test computer vision models, depth cameras, and spatial AI against severe specular glare and geometric reflections. This 425-asset production archive features a custom faceted mirror suit captured in high-contrast outdoor environments to trigger bounding-box dropouts and segmentation failures. The dataset includes 100% proprietary uncompressed Camera-Master RAWs, high-resolution JPEGs, and block-buffered SHA-256 forensic manifests. Open
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u/5500kelvin — 11 days ago
I took some pictures of a robot, high-specularity edge-case dataset (425 RAW/JPEGs) for benchmarking CV & depth-estimation algorithms against extreme mirror reflections
>Specular reflections, intense glare, and non-standard geometric silhouettes remain a major headache for computer vision, depth-estimation, and visual segmentation models—especially in outdoor robotics and autonomous navigation.
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>To help test and benchmark how models handle severe optical disruption, we put together the Hitch Hiker 'Mirror Suit' Robotics Data archive.
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>Dataset Overview:
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>Primary Use Cases:
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>The dataset is hosted on Mozilla Data Collective with gated access:
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>Curious to hear how your current vision pipelines or depth cameras handle specular glare—what methods/filters are you using to prevent bounding box dropouts on highly reflective objects?
u/5500kelvin — 8 days ago
▲ 0 r/datasets
[For Sale] Real people, portraits, copyrighted datasets
i'm looking for an infrastructure to ingest an entire 600,000+ archive if the 45k samples look good to them.
We have just finished staging over 45,000 fashion, portrait, and lifestyle images on AWS S3, and they are ready for immediate review.
A quick overview of our datasets:
Clear Ownership: We captured and own this entire collection (2002–2026), meaning you get an unbroken chain of title and fully signed commercial releases.
Privacy Options: We offer both the original unedited files and anonymized batches where faces have been neutralized to simplify your compliance.
Full S3 Availability: While the links below cover our 45k sample sets, our complete 600,000+ RAW image archive is already fully staged in our secure S3 buckets and ready for immediate, direct transfer.
u/5500kelvin — 3 months ago
A/C Ocean Breeze OBZ-14NPE (14,000 BTU)
I broke this down today, gonna recycle tomorrow. What should i do?
u/5500kelvin — 3 months ago
I'm curious, Would these images confuse, llm or computer vision processors? mirror suit
u/5500kelvin — 6 months ago
In 1997, during Dave's run with the Chili Peppers, I was a First Photo Assistant and worked on François Nars' landmark X-Ray book project. I managed the large-format 8x10 film for the shoot.
After the book was edited, François gifted me the actual 1/1 physical camera-master chromes from the sessions. This is the original Fujifilm transparency of Dave and Monet Mazur that sat inside the camera. It's been kept safe in dark storage in my private archive ever since. I thought the RHCP community would appreciate seeing a physical piece of '97 history before it goes to a new collector.
u/5500kelvin — 6 months ago
In the late 90s, I spent a week managing a Sinar P2 8x10 camera workflow for François Nars' landmark book project, X-Ray. My world was handling the sheet film and daily lab runs to ensure every frame was perfect.
Upon completion of the final edit, François gifted me these original 1/1 camera-master chromes. These are the physical Fujifilm RDP II transparencies that were inside the camera at the moment of capture. Subjects include Dave Navarro & Monet Mazur, Guinevere van Seenus, and Shalom Harlow.
Seeing the physical RDPI edge codes still gets me. It was an incredible era of practical makeup effects, high fashion, and large-format 8x10 film.
u/5500kelvin — 6 months ago