Manhole-training Dataset
Versions
2023-02-12 11:05pm
v30
· 2 years ago
2023-02-12 11:05pm
v29
· 2 years ago
2023-02-11 10:50pm
v28
· 2 years ago
2023-02-11 10:31pm
v27
· 2 years ago
2023-02-11 5:01pm
v26
· 2 years ago
2023-02-11 4:56pm
v25
· 2 years ago
2023-02-10 8:44pm
v24
· 2 years ago
2023-02-10 8:39pm
v23
· 2 years ago
2023-02-10 7:39pm
v22
· 2 years ago
2023-02-08 11:17pm
v21
· 2 years ago
2023-02-08 10:42pm
v20
· 2 years ago
test_segment
v19
· 2 years ago
2023-02-07 11:09am
v17
· 2 years ago
Testing_set
v16
· 2 years ago
2023-02-04 12:19pm
v15
· 2 years ago
2023-02-01 10:05pm
v14
· 2 years ago
2023-01-31 11:47pm
v13
· 2 years ago
2023-01-31 9:12pm
v12
· 2 years ago
2023-01-30 9:01pm
v11
· 2 years ago
2023-01-30 9:01pm
v10
· 2 years ago
2023-01-25 3:03pm
v9
· 2 years ago
2023-01-24 8:07pm
v8
· 2 years ago
2023-01-24 8:38am
v7
· 2 years ago
2023-01-24 8:26am
v6
· 2 years ago
2023-01-23 8:34pm
v5
· 2 years ago
2023-01-22 11:52pm
v4
· 2 years ago
v21
2023-02-08 11:17pm
Generated on Feb 8, 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.
2265 Total Images
View All Images
Dataset Split
Train Set 91%
2063Images
Valid Set 9%
202Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 960x960
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -20% and +20%