PVC_detection Image Dataset
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2022-12-23 4:42pm
v42
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2022-12-23 4:39pm
v41
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2022-12-19 10:08am
v40
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2022-12-15 3:28pm
v39
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2022-12-15 3:24pm
v38
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2022-12-15 2:27pm
v37
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2022-12-15 10:46am
v36
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2022-12-15 10:43am
v35
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2022-12-15 10:28am
v34
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2022-12-15 10:22am
v33
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2022-12-12 5:39pm
v32
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2022-12-10 12:24pm
v31
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2022-12-10 12:18pm
v30
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2022-12-10 12:15pm
v29
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2022-12-08 1:46pm
v27
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2022-12-07 3:34pm
v26
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2022-12-05 2:04pm
v25
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2022-11-29 4:34pm
v24
· 2 years ago
2022-11-29 4:12pm
v23
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2022-11-29 4:03pm
v22
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2022-11-22 10:52am
v21
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2022-11-21 3:01pm
v20
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2022-11-21 12:16pm
v19
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2022-11-17 3:27pm
v18
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2022-11-16 4:37pm
v17
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2022-11-14 6:10pm
v16
· 2 years ago
2022-11-14 3:49pm
v15
· 2 years ago
new
v14
· 2 years ago
2022-11-08 5:29pm
v13
· 2 years ago
AUTO
v12
· 2 years ago
2022-11-07 3:20pm
v11
· 2 years ago
2022-11-07 3:19pm
v10
· 2 years ago
2022-11-07 11:53am
v9
· 2 years ago
2022-11-05 3:02pm
v8
· 2 years ago
lbbb_rbbb
v7
· 2 years ago
final_500
v6
· 2 years ago
YOLO
v5
· 2 years ago
100_cleaned
v4
· 2 years ago
100_images
v3
· 2 years ago
2022-10-31 5:41pm
v2
· 2 years ago
2022-10-31 5:12pm
v1
· 2 years ago
v2
2022-10-31 5:41pm
Generated on Oct 31, 2022
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.
79 Total Images
View All Images
Dataset Split
Train Set 91%
72Images
Valid Set 8%
6Images
Test Set 1%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 360x360
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
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