non_ferrous Image Dataset
Versions
2023-01-01 4:40pm
v13
Jan 1, 2023
2022-12-31 10:17pm
v12
Dec 31, 2022
2022-12-31 4:47pm
v11
Dec 31, 2022
2022-12-30 3:00pm
v10
Dec 30, 2022
2022-12-30 2:47pm
v9
Dec 30, 2022
2022-12-30 2:39pm
v8
Dec 30, 2022
2022-12-30 2:05pm
v7
Dec 30, 2022
2022-12-29 4:40pm
v6
Dec 29, 2022
2022-12-29 3:30pm
v5
Dec 29, 2022
non_ferrous
v4
Dec 29, 2022
2022-12-23 11:45am
v3
Dec 23, 2022
2022-12-23 11:43am
v2
Dec 23, 2022
2022-12-23 11:39am
v1
Dec 23, 2022
v5
2022-12-29 3:30pm
Generated on Dec 29, 2022
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.
1417 Total Images
View All Images
Dataset Split
Train Set 93%
1317Images
Valid Set 7%
100Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Bounding Box: Flip: Horizontal
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
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