chese Image Dataset
Versions
2022-10-02 11:31pm
v10
Oct 2, 2022
2022-10-02 11:26pm
v9
Oct 2, 2022
2022-10-02 11:21pm
v8
Oct 2, 2022
2022-10-02 1:11pm
v7
Oct 2, 2022
2022-10-02 12:35pm
v6
Oct 2, 2022
2022-10-02 12:34pm
v5
Oct 2, 2022
2022-10-02 11:42am
v4
Oct 2, 2022
2022-10-02 11:41am
v3
Oct 2, 2022
2022-10-02 11:32am
v2
Oct 2, 2022
2022-10-01 10:09pm
v1
Oct 1, 2022
v10
2022-10-02 11:31pm
Generated on Oct 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.
1996 Total Images
View All ImagesDataset Split
Train Set 77%
1532Images
Valid Set 15%
296Images
Test Set 8%
168Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 1
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Bounding Box: Rotation: Between -15° and +15°
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