Macro segmentation Image Dataset
Versions
2024-03-12 11:49am
v10
Mar 12, 2024
2024-02-19 3:17pm
v9
Feb 19, 2024
2023-12-19 10:33am
v8
Dec 19, 2023
2023-12-08 2:18pm
v7
Dec 8, 2023
2023-11-28 12:38pm
v6
Nov 28, 2023
2023-11-27 8:27am
v5
Nov 27, 2023
2023-11-22 5:40pm
v4
Nov 22, 2023
2023-11-10 4:12pm
v3
Nov 10, 2023
2023-10-27 11:08am
v2
Oct 27, 2023
V1
v1
Oct 27, 2023
v10
2024-03-12 11:49am
Generated on Mar 12, 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.
3558 Total Images
View All Images
Dataset Split
Train Set 90%
3204Images
Valid Set 7%
265Images
Test Set 3%
89Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Exposure: Between -10% and +10%
Blur: Up to 1.8px
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