FOOD_KOREA6 Image Dataset
Versions
2023-03-29 1:22am
v17
Mar 28, 2023
2022-09-22 9:11pm
v16
Sep 22, 2022
2022-09-19 4:59pm
v15
Sep 19, 2022
2022-09-15 10:48pm
v14
Sep 15, 2022
2022-09-15 10:07pm
v13
Sep 15, 2022
2022-09-15 6:47pm
v12
Sep 15, 2022
2022-09-15 5:10pm
v11
Sep 15, 2022
2022-09-15 4:43pm
v10
Sep 15, 2022
2022-09-15 12:51am
v9
Sep 14, 2022
2022-09-14 3:01pm
v8
Sep 14, 2022
2022-09-14 2:36pm
v7
Sep 14, 2022
2022-09-12 1:32pm
v6
Sep 12, 2022
2022-09-12 1:09am
v5
Sep 11, 2022
2022-09-12 1:02am
v4
Sep 11, 2022
2022-09-12 12:57am
v3
Sep 11, 2022
2022-09-12 12:55am
v2
Sep 11, 2022
2022-09-12 12:10am
v1
Sep 11, 2022
v4
2022-09-12 1:02am
Generated on Sep 11, 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.
537 Total Images
View All Images
Dataset Split
Train Set 96%
516Images
Valid Set 2%
10Images
Test Set 2%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 25% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 10px
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