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Mobilevit Small 10k Steps

Developed by Efferbach
This model is a fine-tuned version of apple/deeplabv3-mobilevit-small on the Efferbach/lane_master2 dataset for image segmentation tasks.
Downloads 13
Release Time : 4/8/2023

Model Overview

This is a vision model for image segmentation, particularly suitable for scenarios such as lane detection.

Model Features

Lightweight design
Based on the MobileViT architecture, suitable for deployment on mobile or resource-constrained environments.
Lane detection optimization
Specially fine-tuned on lane detection datasets.

Model Capabilities

Image segmentation
Lane detection
Visual feature extraction

Use Cases

Autonomous driving
Lane line recognition
Used for lane-keeping functions in autonomous driving systems.
Traffic monitoring
Road condition analysis
Detects lane markings and boundaries on roads.
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