Update model card for yolov5-det

README.md

@@ -53,7 +53,7 @@ model-index:
 
 YOLOv5 Detection models trained on [COCO 2017](https://edgefirst.studio/public/projects/p-694/home) (80 classes) and validated on real edge hardware with the EdgeFirst Profiler, which runs the pipeline and computes the accuracy on the device itself. Each row in the tables below cites the EdgeFirst Studio validation session (`v-XXXX`) that produced the measurement.
 
-Part of the [EdgeFirst Model Zoo](https://huggingface.co/spaces/EdgeFirst/Models). New here? **[Introducing the EdgeFirst Model Zoo](https://huggingface.co/blog/EdgeFirst/model-zoo-intro)** covers what is in the zoo, why every figure links to its validation session, and how to reproduce any of it on your own hardware.
+Part of the [EdgeFirst Model Zoo](https://huggingface.co/spaces/EdgeFirst/Models). New here? **[Introducing the EdgeFirst Model Zoo](https://huggingface.co/blog/EdgeFirst/model-zoo-intro)** covers what is in the zoo, why every figure links to its validation session, and how to reproduce any of it on your own hardware. Want a platform, model or task we don't cover yet? [Vote on what we measure next](https://github.com/orgs/EdgeFirstAI/discussions/categories/polls).
 
 > [!TIP]
 > **Training experiment**: [View on EdgeFirst Studio](https://edgefirst.studio/public/p-694/exp-841/trainings) — dataset, training configuration, metrics, and exported artifacts.