Image-detection Image Dataset
Versions
2023-04-11 9:30am
v13
Apr 11, 2023
2023-04-11 9:19am
v12
Apr 11, 2023
2023-04-11 9:12am
v11
Apr 11, 2023
2023-04-11 8:52am
v10
Apr 11, 2023
2023-04-06 8:28am
v9
Apr 6, 2023
2023-04-06 8:17am
v8
Apr 6, 2023
2023-04-05 4:03pm
v7
Apr 5, 2023
2023-02-05 11:05am
v6
Feb 5, 2023
2023-02-01 11:46am
v5
Feb 1, 2023
2023-02-01 11:42am
v4
Feb 1, 2023
2023-01-30 1:23pm
v3
Jan 30, 2023
2023-01-25 2:56pm
v2
Jan 25, 2023
2023-01-25 1:24pm
v1
Jan 25, 2023
v13
2023-04-11 9:30am
Generated on Apr 11, 2023
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.
981 Total Images
View All Images
Dataset Split
Train Set 90%
882Images
Valid Set 7%
66Images
Test Set 3%
33Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-78% Horizontal Region, 25-78% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 40% of images
Exposure: Between -16% and +16%
Bounding Box: Flip: Horizontal
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 11% of pixels
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