[1] First training set data
Release date: 15th November 2018
- Number of video frames/images = 887
- Data institutions: JRC, UK/ICL, France/ APHP, France/ UHV, Switzerland/Botkin Clinical City Hospital, Russia
- Data modalities: White light/Fluorescence/Narrow-band imaging
- Data resolutions: Standard HD/Full HD/high magnification and others
- Tissue types: Oesophagus, stomach, pylorus, rectum, anus , colon, bladder...
[2] Second training set data
TO BE DECLARED!!!
[3] Test data release
TO BE DECLARED (Tentative in Febraury)
See for updated at EAD2019
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Annotation provided are for 7 classes and consists of intotal 9352 bounding boxes (bbox)
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Distribution of class specific bboxes in the provided dataset is presented in the bar graph
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Bounding box labels has been provided in the below format:
<object-class> <x> <y> <width> <height> : Ideally, <0> <0> <1> <1> <object-class> integer values from 0 to 6 <x> = <abs x>/<image_width>, <y> = <abs y>/<image_height> they correspond to annotators box's centres <width>: annotator box normalised width <height> annotator box normalised height -
Annotation converter to corresponding non-normalized format as csv file is provided as software tools
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class labels --> 0: specularity ..... 6:instrument
- Please visit github-repos for some help
[1] All data provided in this challenge is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
[2] Image data can be used for research purposes only. Utilization of any data for a product or (self) publication without consent and proper legal agreement from the EAD2019 organisers is forbidden!!!
[3] See EAD2019 website for challenge participation rules