RCreddit.com
14
·7 hr ago·RSS
Not on the current live radar
We used HFlow to evaluate the latest open weights VLMs for processing egocentric data
GeminiGitHubModel releaseModel accessOpen source
Heat trend
Collecting trend data
The percentage is based on available heat signal, not comment count or independent people.
Gemini model activity is surfacing — worth tracking for capability changes, ecosystem impact, and availability.
HFlow was utilized to evaluate open-weight Vision-Language Models (VLMs) for egocentric data processing. This evaluation mirrored Build AI's Egocentric-10k, employing identical prompts and datasets, but varying the VLM. The baseline model, Gemini 2.5 Flash, achieved a 91.65% score in measuring hand visibility and active manipulation. The HFlow tool is available via git clone https://github.com/Hebbian-Robotics/hflow.git.