ImageCLEF
ImageCLEF is an evaluation campaign that is being organized as part of the CLEF initiative labs. The campaign offers several research tasks that welcome participation from teams around the world. Target communities of the tasks involve (but are not limited to): information retrieval (text, vision, audio, multimedia, social media, sensor data), machine learning (including deep learning), data mining, natural language processing, image/video processing, remote sensing, with special attention to the challenges of multi-modality, multi-linguality, and interactive search.
Official round: Completed
ImageCLEF 2018 Caption - Caption prediction
Composing coherent captions for the entirety of an image
5906
41
0
29
ImageCLEF 2018 Caption - Concept Detection
Identifying relevant concepts in a large corpus of medical images
4928
20
0
30
ImageCLEF 2018 Tuberculosis - MDR detection
Tuberculosis multi-drug-resistance detection based on CT image analysis
4162
25
0
42
ImageCLEF 2019 Caption - Concept Detection
Detecting relevant concepts in a corpus of radiology images
6564
20
0
77
