thermal-leackage-detection Dataset
Versions
2023-01-13 6:33pm
v57
· 2 years ago
2023-01-13 6:01pm
v56
· 2 years ago
2023-01-13 5:34pm
v55
· 2 years ago
2023-01-13 5:00pm
v52
· 2 years ago
2022-11-04 3:05pm
v51
· 2 years ago
2022-07-23 2:56pm
v49
· 2 years ago
2022-07-22 11:52am
v48
· 2 years ago
2022-07-22 11:21am
v47
· 2 years ago
2022-07-22 1:36am
v46
· 2 years ago
2022-07-21 1:54pm
v45
· 2 years ago
2022-07-21 1:46pm
v44
· 2 years ago
2022-07-21 1:37pm
v43
· 2 years ago
2022-07-21 11:43am
v42
· 2 years ago
9:1 20 crop - 10 inner rotate
v41
· 2 years ago
9:1 20 crop - 20 inner crop
v40
· 2 years ago
9:1 20 crop - 15 rotate
v39
· 2 years ago
9:1 20 crop - noice
v38
· 2 years ago
9:1 20 crop - flip
v37
· 2 years ago
9:1 40 crop
v36
· 2 years ago
9:1 20 crop
v35
· 2 years ago
9:1 default
v34
· 2 years ago
2022-07-20 6:25pm
v33
· 2 years ago
2022-07-20 12:56am
v26
· 2 years ago
2022-07-20 12:43am
v22
· 2 years ago
2022-07-20 12:29am
v17
· 2 years ago
2022-07-19 11:18pm
v16
· 2 years ago
2022-07-18 4:00pm
v15
· 2 years ago
2022-07-14 3:19pm
v13
· 2 years ago
2022-07-14 3:00pm
v12
· 2 years ago
2022-07-09 11:45pm
v11
· 2 years ago
2022-07-07 4:59pm
v10
· 2 years ago
2022-07-05 2:40am
v9
· 2 years ago
v48
2022-07-22 11:52am
Generated on Jul 22, 2022
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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.
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1103 Total Images
View All Images
Dataset Split
Train Set 86%
953Images
Valid Set 8%
84Images
Test Set 6%
66Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical