Dataset4 Image Dataset
Versions
fixed_noshear
v71
Mar 4, 2024
Fixed_And_Augmented
v69
Feb 27, 2024
ALL CLASSES FIXED
v67
Feb 21, 2024
21_Classes_Fixed
v66
Feb 21, 2024
original_without_deletion
v65
Feb 21, 2024
2024-02-15 11:55am
v26
Feb 15, 2024
2024-02-12 3:26pm
v11
Feb 12, 2024
2024-02-12 3:17pm
v10
Feb 12, 2024
2023-12-12 5:21pm
v8
Dec 12, 2023
2023-12-06 2:58pm
v7
Dec 6, 2023
2023-12-06 2:56pm
v6
Dec 6, 2023
2023-11-28 12:12pm
v1
Nov 28, 2023
v71
fixed_noshear
Generated on Mar 4, 2024
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.
4617 Total Images
View All Images
Dataset Split
Train Set 91%
4194Images
Valid Set 6%
293Images
Test Set 3%
130Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -22° and +22°
Saturation: Between -29% and +29%
Brightness: Between -18% and +18%
Noise: Up to 0.46% of pixels
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