NBA Image Dataset
v3
with augmentations
Generated on Jan 25, 2023
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
379 Total Images
View All Images
Dataset Split
Train Set 90%
342Images
Valid Set 10%
37Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x720
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Similar Projects
basketball
50 images
basketball
599 images
Basketball-Players-Shots-Referee
26 images
basketball
95 images
Basketball-courts
81 images