From be964e5c05c18d83c57197fb9744815cbb7e2822 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Kaan=20=C3=87olak?= Date: Tue, 14 Nov 2023 11:03:15 +0300 Subject: [PATCH] Update docs/how-to-guides/training-machine-learning-models/training-models.md Co-authored-by: Yukihiro Saito --- .../training-machine-learning-models/training-models.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/how-to-guides/training-machine-learning-models/training-models.md b/docs/how-to-guides/training-machine-learning-models/training-models.md index 4b9d3e96747..bcc28e39bbc 100644 --- a/docs/how-to-guides/training-machine-learning-models/training-models.md +++ b/docs/how-to-guides/training-machine-learning-models/training-models.md @@ -37,7 +37,7 @@ fork the original repository and made the necessary code modifications to suppor To train custom CenterPoint models and convert them into ONNX format for deployment in Autoware, please refer to the instructions provided in the README file included with the **"lidar_centerpoint"** package. These instructions will provide a step-by-step guide for training CenterPoint model. -In order to assist you with your training process, we have also included an example dataset in the Tier4 dataset format. +In order to assist you with your training process, we have also included an example dataset in the TIER IV dataset format. This dataset contains 600 lidar frames and covers 5 classes, including 6905 cars, 3951 pedestrians, 75 cyclists, 162 buses, and 326 trucks. You can utilize this example dataset to facilitate your training efforts.