Base_detection Image Dataset
Versions
v1
2022-08-30 10:03pm
Generated on Aug 31, 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.
123 Total Images
View All Images
Dataset Split
Train Set 100%
123Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 42% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±0° Horizontal, ±43° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -68% and +68%
Brightness: Between -63% and +63%
Exposure: Between -50% and +50%
Blur: Up to 16px
Noise: Up to 9% of pixels
Cutout: 6 boxes with 10% size each
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