We wanted to see how Gemini 3.5 Flash-Lite handles massive， repetitive visual tasks. This demo runs the model across 1M+ catalog images， extracting raw features into clean， structured data with the low latency and token efficiency required for large-scale workflows.
Google AI Developers@googleaidevs · XAI 摘要
我们想看看 Gemini 3.5 Flash-Lite 如何处理大规模、重复性的视觉任务。该演示让模型处理超过 100 万张目录图像，以大规模工作流所需的低延迟和 token 效率，将原始特征提取为干净、结构化的数据。
We wanted to see how Gemini 3.5 Flash-Lite handles massive， repetitive visual tasks. This demo runs the model across 1M+ catalog images， extracting raw features into clean， structured data with the low latency and token efficiency required for large-scale workflows.