Značky a mobiliář Image Dataset
Versions
2024-03-31 3:04pm
v18
Mar 31, 2024
2024-03-31 3:00pm
v17
Mar 31, 2024
2024-03-31 2:29pm
v16
Mar 31, 2024
2024-03-20 3:02pm
v15
Mar 20, 2024
2024-03-20 2:56pm
v14
Mar 20, 2024
2024-03-15 5:20pm
v13
Mar 15, 2024
2024-02-19 5:43pm
v8
Feb 19, 2024
2024-02-06 9:44pm
v7
Feb 6, 2024
2024-02-06 8:32pm
v6
Feb 6, 2024
2024-02-06 6:42pm
v5
Feb 6, 2024
2024-02-06 6:40pm
v4
Feb 6, 2024
2024-01-31 4:03pm
v3
Jan 31, 2024
v18
2024-03-31 3:04pm
Generated on Mar 31, 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.
3181 Total Images
View All Images
Dataset Split
Train Set 96%
3048Images
Valid Set 3%
103Images
Test Set 1%
30Images
Preprocessing
Resize: Stretch to 2048x1024
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 89 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
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