Object detection dataset with soccer balls in different formats: PascalVOC, COCO, CreateML. Train neural network in few clicks. Computer Vision Dataset Store.
Ball detection datasets comprises three diffrent publicly available datasets for soccer, basketball, and volleyball sports. These datasets consist of approximately 34000 frames. They are labeled manually, frame by frame, for the purpose of academic studies in ball detection by the members of Image Processing Laboratory (IPL) of Sharif University of Technology .
More Soccer Ball Dataset images
Drag and drop images into the new project. Create a new "soccer ball" annotation title, and start to label them. By the way, you can import my dataset into your project. Just go to the Dataset Store and select Soccer Ball dataset. So, it looks like we are ready to start training. Training. Now we have 182 annotated images for training.
I found that the dataset better includes many arbitrary positions of the objects. Because soccer ball appears in almost every location in a game, the unseen locations are hard to be predicted. Finally, soccer ball sometimes appears in between players or is hidden partially by players, and it also made algorithm hard to predict.
The boy is throwing a soccer ball by the red door. A soccer ball is over a roof by a frisbee in a rain gutter. Two balls and a frisbee are on top of a roof. Desc-in-Sequence: A roof top with a black frisbee laying on the top of the edge of it. A man is standing in the grass in front of the house kicking a soccer ball.
Data from the paper "Detecting soccer balls with reduced neural networks". This directory contains the results from our JINT 2020 paper, in which we trained multiple MobileNetV2 and V3 as well as YOLO and TinyYOLO v3 and v4 models on a soccer ball image dataset collected from humanoid robots. Data from the paper "Detecting soccer balls with ...
Soccer Ball Detection using YOLOv2 (Darkflow) Introduction. This notebook shows how object detection can be done on your own dataset by training YOLOv2. I am going to use soccer playing images as training dataset as an example to detect soccer ball.
🏒 Hockey Data Sets. National Hockey League Player Offensive statistics Data Set (Csv) – yearly offensive statistics of every NHL player from the 1940 season to the 2018 season. Miscellaneous Sports Data Sets and Databases. Cricheet.org structured ball-by-ball data for international and IPL cricket matches, 2015 to 2019 inclusive.