Manhole-training Image Dataset
Versions
2023-02-12 11:05pm
v30
Feb 12, 2023
2023-02-12 11:05pm
v29
Feb 12, 2023
2023-02-11 10:50pm
v28
Feb 11, 2023
2023-02-11 10:31pm
v27
Feb 11, 2023
2023-02-11 5:01pm
v26
Feb 11, 2023
2023-02-11 4:56pm
v25
Feb 11, 2023
2023-02-10 8:44pm
v24
Feb 10, 2023
2023-02-10 8:39pm
v23
Feb 10, 2023
2023-02-10 7:39pm
v22
Feb 10, 2023
2023-02-08 11:17pm
v21
Feb 8, 2023
2023-02-08 10:42pm
v20
Feb 8, 2023
test_segment
v19
Feb 8, 2023
2023-02-07 11:09am
v17
Feb 7, 2023
Testing_set
v16
Feb 4, 2023
2023-02-04 12:19pm
v15
Feb 4, 2023
2023-02-01 10:05pm
v14
Feb 1, 2023
2023-01-31 11:47pm
v13
Jan 31, 2023
2023-01-31 9:12pm
v12
Jan 31, 2023
2023-01-30 9:01pm
v11
Jan 30, 2023
2023-01-30 9:01pm
v10
Jan 30, 2023
2023-01-25 3:03pm
v9
Jan 25, 2023
2023-01-24 8:07pm
v8
Jan 24, 2023
2023-01-24 8:38am
v7
Jan 24, 2023
2023-01-24 8:26am
v6
Jan 24, 2023
2023-01-23 8:34pm
v5
Jan 23, 2023
2023-01-22 11:52pm
v4
Jan 22, 2023
v30
2023-02-12 11:05pm
Generated on Feb 12, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
2271 Total Images
View All ImagesDataset Split
Train Set 91%
2077Images
Valid Set 9%
194Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 1280x960
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -16% and +16%
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