Trucks_red_plate Image Dataset
Versions
2024-05-08 8:41pm
v22
May 8, 2024
2024-05-06 4:28pm
v17
May 6, 2024
2024-04-22 2:46pm
v15
Apr 22, 2024
2024-04-22 2:33pm
v13
Apr 22, 2024
2024-04-15 4:09am
v12
Apr 15, 2024
2024-04-12 11:44pm
v11
Apr 12, 2024
2024-04-01 12:23pm
v10
Apr 1, 2024
2024-04-01 11:15am
v9
Apr 1, 2024
2024-04-01 11:12am
v7
Apr 1, 2024
2024-04-01 11:11am
v6
Apr 1, 2024
2024-04-01 10:57am
v5
Apr 1, 2024
2024-03-31 11:04pm
v1
Mar 31, 2024
v15
2024-04-22 2:46pm
Generated on Apr 22, 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
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5256 Total Images
View All Images
Dataset Split
Train Set 92%
4812Images
Valid Set 5%
280Images
Test Set 3%
164Images
Preprocessing
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -7° and +7°
Grayscale: Apply to 3% of images
Hue: Between -10° and +10°
Saturation: Between -8% and +8%
Brightness: Between -8% and +8%
Exposure: Between -2% and +2%
Blur: Up to 0.8px
Noise: Up to 0.02% of pixels
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