yuvrajengines/apextrack-track-condition-dataset

ApexTrack Balanced Racing Track Condition Dataset

This dataset contains racing track condition images curated and balanced across three primary condition classes: DRY, DAMP, and WET.

It serves as the official training, validation, and evaluation benchmark for the ApexTrack AI Vision Transformer model (yuvrajengines/apextrack-track-condition-v2).

Dataset Structure

apextrack_balanced/
├── train/
│   ├── damp/ (100 images)
│   ├── dry/  (100 images)
│   └── wet/  (100 images)
├── validation/
│   ├── damp/ (5 images)
│   ├── dry/  (9 images)
│   └── wet/  (13 images)
└── test/
    ├── damp/ (7 images)
    ├── dry/  (11 images)
    └── wet/  (14 images)

Classes

• 0: damp - Track with noticeable moisture / drying racing lines.
• 1: dry - Optimal dry asphalt surface.
• 2: wet - Surface with visible standing water and spray.

Usage with Hugging Face Datasets

from datasets import load_dataset

dataset = load_dataset("yuvrajengines/apextrack-track-condition-dataset")
print(dataset)