Browse trusted datasets for evaluation, enrichment, and production use.
The dataset focuses on image classification and feature extraction for defective tires, containing between 1 k and 10 k images, suitable for identifying tire defects in the automotive industry. It is released under the CC‑BY‑4.0 license.
The TLID dataset is a public dataset released by the Power Vision Research Center of the School of Artificial Intelligence, North China Electric Power University. It contains detailed images of insulator defect samples from various backgrounds and materials. We hope this work can assist researchers working in this field.
A dataset for defect detection, using YOLOv8 and its enhanced models (including Coordinate Attention and Swin Transformer) for defect detection.
