Basketball-goal-detection Image Dataset
Versions
2023-03-23 3:03pm
v10
Mar 23, 2023
2023-03-22 11:45pm
v9
Mar 22, 2023
2023-03-22 11:27pm
v7
Mar 22, 2023
2023-03-21 6:58pm
v6
Mar 21, 2023
2023-03-20 5:10pm
v5
Mar 20, 2023
2023-03-17 10:13pm
v4
Mar 17, 2023
2023-03-17 2:36pm
v3
Mar 17, 2023
2023-03-16 4:57pm
v2
Mar 16, 2023
2023-03-16 4:46pm
v1
Mar 16, 2023
v10
2023-03-23 3:03pm
Generated on Mar 23, 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.
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217 Total Images
View All ImagesDataset Split
Train Set 80%
174Images
Valid Set 12%
27Images
Test Set 7%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
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