SFCHD

Dataset Information
Modalities
Images
Introduced
2023
License
Unknown
Homepage

Overview

This work contributes a large, complex, and realistic high-quality safety clothing and helmet detection (SFCHD) dataset. The dataset comprises 12,373 images, covering 7 categories, with a total of 50,558 labeled instances. All images are captured from factory surveillance cameras, encompassing 40 different scenes across two chemical plants. It is worth noting that our SFCHD dataset not only provides a rich set of training samples but also serves as a benchmark for the evaluation of various detection tasks, such as small object detection, and high-low light object detection.

Variants: SFCHD

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Object Detection YOLOv8+SCALE Large, Complex, and Realistic Safety … 2023-06-03
Object Detection TOOD+SCALE Large, Complex, and Realistic Safety … 2023-06-03
Object Detection TOOD Large, Complex, and Realistic Safety … 2023-06-03
Object Detection YOLOv8 Large, Complex, and Realistic Safety … 2023-06-03
Object Detection VFNet+SCALE Large, Complex, and Realistic Safety … 2023-06-03
Object Detection VFNet Large, Complex, and Realistic Safety … 2023-06-03
Object Detection Faster RCNN Large, Complex, and Realistic Safety … 2023-06-03
Object Detection FCOS Large, Complex, and Realistic Safety … 2023-06-03
Object Detection YOLOv5 Large, Complex, and Realistic Safety … 2023-06-03
Object Detection FCOS+SCALE Large, Complex, and Realistic Safety … 2023-06-03
Object Detection RetinaNet Large, Complex, and Realistic Safety … 2023-06-03
Object Detection SSD Large, Complex, and Realistic Safety … 2023-06-03

Research Papers

Recent papers with results on this dataset: