Cards Detection Image Dataset
Versions
2022-06-02 1:15pm ffinal
v12
Jun 2, 2022
2022-06-02 12:30pm nn
v11
Jun 2, 2022
2022-06-02 12:25pm final
v10
Jun 2, 2022
2022-06-01 7:28pm wo flip
v9
Jun 1, 2022
2022-06-01 2:33pm
v8
Jun 1, 2022
2022-06-01 1:40pm neew
v7
Jun 1, 2022
2022-06-01 12:32pm neew
v6
Jun 1, 2022
2022-05-31 5:54pm
v4
May 31, 2022
2022-05-31 4:46pm
v3
May 31, 2022
2022-05-27 10:18am
v2
May 27, 2022
cards_dataset
v1
May 27, 2022
v10
2022-06-02 12:25pm final
Generated on Jun 2, 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.
346 Total Images
View All Images
Dataset Split
Train Set 88%
306Images
Valid Set 7%
25Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -1° and +1°
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
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