AllLabels Image Dataset
Versions
2021-10-13 10:18pm
v12
Oct 13, 2021
AllImages
v11
Oct 13, 2021
2021-10-13 5:18pm
v10
Oct 13, 2021
2021-10-13 5:14pm
v9
Oct 13, 2021
2021-10-13 5:09pm
v8
Oct 13, 2021
Classification Dataset
v7
Oct 13, 2021
2021-10-11 4:46pm
v6
Oct 11, 2021
WithValidData
v5
Oct 11, 2021
Test2
v4
Oct 11, 2021
WithAdditionalParameters
v3
Oct 10, 2021
AllLables-withnull-
v2
Oct 10, 2021
First 8 Classes
v1
Oct 8, 2021
v7
Classification Dataset
Generated on Oct 13, 2021
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.
3052 Total Images
View All Images
Dataset Split
Train Set 85%
2592Images
Valid Set 8%
245Images
Test Set 7%
215Images
Preprocessing
Isolate Objects: Applied
Resize: Fit (white edges) in 416x416
Grayscale: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Blur: Up to 10px
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Noise: Up to 5% of pixels
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