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yolov5-det

Object Detection
LiteRT
ONNX
edgefirst
edge-ai
npu
int8
yolo
nxp
hailo
jetson
embedded
Eval Results (legacy)
Model card Files
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sebastientaylor commited on
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Update model card for yolov5-det

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  # YOLOv5 Detection — EdgeFirst Model Zoo
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- YOLOv5 Detection models trained on [COCO 2017](https://edgefirst.studio/public/projects/1684/home) (80 classes) and validated on real edge hardware through the EdgeFirst Profiler + Validator pipeline. Each row in the tables below cites the EdgeFirst Studio validation session (`v-XXXX`) that produced the measurement.
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  Part of the [EdgeFirst Model Zoo](https://huggingface.co/spaces/EdgeFirst/Models).
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@@ -55,7 +55,7 @@ Part of the [EdgeFirst Model Zoo](https://huggingface.co/spaces/EdgeFirst/Models
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  > [!NOTE]
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  > Legacy architecture, wide deployment base.
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- [![x86_64 | Linux](https://img.shields.io/badge/x86__64-Linux-6C757D?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![aarch64 | Linux](https://img.shields.io/badge/aarch64-Linux-718096?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![Apple | macOS](https://img.shields.io/badge/Apple-macOS-4B0082?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![NXP i.MX 8M Plus](https://img.shields.io/badge/NXP-i.MX_8M_Plus-E8B820?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![NXP i.MX 95](https://img.shields.io/badge/NXP-i.MX_95-1FA0A8?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![NXP Ara240](https://img.shields.io/badge/NXP-Ara240-5BB8F5?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![RPi5 + Hailo-8L](https://img.shields.io/badge/RPi5-Hailo--8L-D9534F?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![NVIDIA Jetson](https://img.shields.io/badge/NVIDIA-Jetson-2E8B57?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models)
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  ## Reference accuracy — ONNX FP32
 
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  # YOLOv5 Detection — EdgeFirst Model Zoo
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+ YOLOv5 Detection models trained on [COCO 2017](https://edgefirst.studio/public/projects/p-694/home) (80 classes) and validated on real edge hardware through the EdgeFirst Profiler + Validator pipeline. Each row in the tables below cites the EdgeFirst Studio validation session (`v-XXXX`) that produced the measurement.
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  Part of the [EdgeFirst Model Zoo](https://huggingface.co/spaces/EdgeFirst/Models).
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  > [!NOTE]
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  > Legacy architecture, wide deployment base.
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+ [![Linux x86_64](https://img.shields.io/badge/x86__64-Linux-6C757D?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![Linux aarch64](https://img.shields.io/badge/aarch64-Linux-718096?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![Apple macOS](https://img.shields.io/badge/Apple-macOS-4B0082?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![NXP i.MX 8M Plus](https://img.shields.io/badge/NXP-i.MX_8M_Plus-E8B820?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![NXP i.MX 95](https://img.shields.io/badge/NXP-i.MX_95-1FA0A8?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![NXP Ara240](https://img.shields.io/badge/NXP-Ara240-5BB8F5?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![RPi5 + Hailo-8L](https://img.shields.io/badge/RPi5-Hailo--8L-D9534F?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models) [![NVIDIA Jetson](https://img.shields.io/badge/NVIDIA-Jetson-2E8B57?style=flat-square)](https://huggingface.co/spaces/EdgeFirst/Models)
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  ## Reference accuracy — ONNX FP32