potatos_detection Image Dataset
Versions
2022-06-02 9:46am
v9
Jun 2, 2022
2022-06-02 9:44am
v8
Jun 2, 2022
2022-06-02 12:42am
v7
Jun 1, 2022
2022-06-01 11:56pm
v6
Jun 1, 2022
2022-05-30 2:12pm
v5
May 30, 2022
2022-05-30 2:11pm
v4
May 30, 2022
2022-05-30 2:01pm
v3
May 30, 2022
2022-04-14 3:45pm
v2
Apr 14, 2022
2022-04-14 2:51pm
v1
Apr 14, 2022
v1
2022-04-14 2:51pm
Generated on Apr 14, 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
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2536 Total Images
View All Images
Dataset Split
Train Set 88%
2220Images
Valid Set 8%
212Images
Test Set 4%
104Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -26° and +26°
Saturation: Between -4% and +4%
Brightness: Between -40% and +0%
Exposure: Between -2% and +2%
Blur: Up to 0.5px
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