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RGB Optic Flow Bend Classification

Developed by aap9002
A curvature classification model trained on RGB images and wide-angle dense optical flow for video classification tasks.
Downloads 102
Release Time : 3/15/2025

Model Overview

This model classifies road curvature by analyzing RGB images and wide-angle dense optical flow data, suitable for autonomous driving or road analysis scenarios.

Model Features

Multi-modal input
Supports both RGB images and wide-angle dense optical flow as temporal data inputs to improve classification accuracy.
Lightweight implementation
Implemented using the Keras framework for easy deployment and integration.

Model Capabilities

Video classification
Curvature recognition
Temporal data analysis

Use Cases

Autonomous driving
Road curvature detection
Identifies road curvature to assist autonomous driving systems in path planning.
Road safety analysis
Hazardous curve identification
Analyzes road video data to identify potentially dangerous curve areas.
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