Multimodal Dataset for Connect Four
Authors/Creators
- 1. PET Research Centre,PES College of Engineering, Visvesvaraya Technological University, Belagavi-590018, India
- 2. Federal Institute of Science And Technology, Ernakulam, Kerala, India
- 3. Federal Institute of Science and Technology
- 4. PES College of Engineering
Description
Dataset contains six main components derived from human-versus-human Connect Four games played on a physical board, as well as computer-generated optimal move data.
Dataset Components
-
Video Dataset – Recordings of 52 human-versus-human Connect Four matches on a physical board.
-
Board Annotations – Frame-wise annotated boards with grid coordinates.
-
Piece Annotations – Annotated discs for both players and empty grids
-
Image Vectors – Vectorized board representations derived from frames.
-
Optimal Move Dataset – One million unique board positions with optimal moves computed using a minimax-based solver.
-
Annotation Tool – A Python-based GUI application for frame-to-symbolic board conversion and annotation consistency checking.
Files
annotation_tool.zip
Files
(5.1 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:0320fe9b3e1db382ed18c5ffcac4b0fa
|
15.5 kB | Preview Download |
|
md5:484a1af3a608b032f57b8ace86c26db5
|
59.4 MB | Preview Download |
|
md5:d2efed2dd812e1243e3ad5ec731ac352
|
4.7 GB | Preview Download |
|
md5:a8205f0df73d240849af73977e92e114
|
230.1 MB | Preview Download |
|
md5:bd64bbb2db8f189da57f989f792033e1
|
47.3 MB | Preview Download |
|
md5:b09250f577c289ed1d4746f1d9953188
|
41.8 MB | Preview Download |