Rapid React Balls Image Dataset
Versions
raw-images
v10
Apr 8, 2022
Accurate
v9
Mar 26, 2022
fast v2
v8
Mar 24, 2022
fast
v7
Mar 12, 2022
2022-02-02 11:25am
v6
Feb 2, 2022
2022-02-01 12:05pm
v5
Feb 1, 2022
2022-02-01 11:55am
v4
Feb 1, 2022
2022-01-28 3:39pm
v3
Jan 28, 2022
2022-01-24 3:07pm
v2
Jan 24, 2022
2022-01-24 3:07pm
v1
Jan 24, 2022
v3
2022-01-28 3:39pm
Generated on Jan 28, 2022
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.
271 Total Images
View All Images
Dataset Split
Train Set 87%
237Images
Valid Set 7%
20Images
Test Set 5%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -25% and +25%
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