Any data that is downloadable from the Open Images Challenge Downloads section is considered to be internal to the challenge. The usage of the external data is allowed, however the winner teams will be required to submit a full description of the data used for training (see below). The usage of pretrained models is allowed, however the winning teams will be required to describe them in terms of architecture and training data (see below).
Note: Using the challenge test set for any form of training is strictly forbidden. Annotating the challenge test set in any way is also strictly forbidden.
Participants are encouraged to submit a short abstract describing their method and the data used for training (10 lines of text).
The winners of each track will additionally be required to provide a detailed description of their method and all the data used for training in order to claim the prize (minimum of 2 pages double-column).
Further, the winners will be asked to present their work at the Open Images Workshop at ICCV 2019. The workshop date and time is available here.
We welcome other participants to make poster presentations of their approaches at the same workshop.
Method description submission guidlienes
The method description paper should be submitted through Kaggle website, corresponding to the winner's track.
Please use the template provided below for your method description paper:
LaTex tempalate(zip): download
When creating the paper please make sure the following content is included:
- data and pre-trained networks used;
- ablation studies;
- technical details of the model implementation;
- any interesting observations made during the competition.
The paper must contain the minimum of 2 pages double-column text, but is not limited to 2 pages.
We encourage use as much space as needed to provide all details of your method.
We will make all method description papers public on our website.