FDDB

Face Detection Dataset and Benchmark

Dataset Information
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Overview

The Face Detection Dataset and Benchmark (FDDB) dataset is a collection of labeled faces from Faces in the Wild dataset. It contains a total of 5171 face annotations, where images are also of various resolution, e.g. 363x450 and 229x410. The dataset incorporates a range of challenges, including difficult pose angles, out-of-focus faces and low resolution. Both greyscale and color images are included.

Source: A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications

Variants: FDDB

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Face Detection Condensation-Net Condensation-Net: Memory-Efficient Network Architecture with … 2021-04-29
Face Detection IFQ-Tinier-YOLO(k=2) IFQ-Net: Integrated Fixed-point Quantization Networks … 2019-11-19
Face Detection LFFD LFFD: A Light and Fast … 2019-04-24
Face Detection DSFD DSFD: Dual Shot Face Detector 2018-10-24
Face Detection SRN Selective Refinement Network for High … 2018-09-07
Face Detection PyramidBox PyramidBox: A Context-assisted Single Shot … 2018-03-21
Face Detection Face R-FCN Detecting Faces Using Region-based Fully … 2017-09-14
Face Detection FaceBoxes FaceBoxes: A CPU Real-time Face … 2017-08-17
Face Detection S3FD S$^3$FD: Single Shot Scale-invariant Face … 2017-08-17
Face Detection HyperFace HyperFace: A Deep Multi-task Learning … 2016-03-03
Face Detection DPM A Fast and Accurate Unconstrained … 2014-08-06

Research Papers

Recent papers with results on this dataset: