2022RapidReactBall Image Dataset
Versions
Messy 5 small
v22
Mar 19, 2022
Raw 4 small
v21
Mar 19, 2022
Raw 3 small
v20
Mar 18, 2022
Messy 4 small
v19
Mar 18, 2022
Messy 3 small
v18
Mar 18, 2022
Messy 2
v17
Mar 17, 2022
Raw 2
v16
Mar 17, 2022
Raw 1
v15
Mar 17, 2022
Messy 1
v14
Mar 17, 2022
2022-03-13 9:21pm
v13
Mar 14, 2022
PROC2 YTP
v12
Mar 14, 2022
PROC1 YTP
v11
Mar 14, 2022
RAW YTP
v10
Mar 14, 2022
raw
v9
Mar 11, 2022
test
v8
Mar 11, 2022
aaaa
v7
Mar 11, 2022
2022-03-10 8:31pm
v6
Mar 11, 2022
2022-03-10 8:29pm
v5
Mar 11, 2022
2022-03-06 3:20pm
v4
Mar 6, 2022
2022-03-06 2:19pm
v3
Mar 6, 2022
2022-03-06 2:07pm
v2
Mar 6, 2022
2022-02-28 8:04pm
v1
Mar 1, 2022
v18
Messy 3 small
Generated on Mar 18, 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.
2314 Total Images
View All Images
Dataset Split
Train Set 93%
2157Images
Valid Set 4%
84Images
Test Set 3%
73Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 68% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±14° Horizontal, ±14° Vertical
Hue: Between -5° and +5°
Saturation: Between -33% and +33%
Brightness: Between -33% and +33%
Exposure: Between -13% and +13%
Blur: Up to 4.5px
Noise: Up to 14% of pixels
Cutout: 25 boxes with 9% size each
Mosaic: Applied
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