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Solar PV Fault - Faqihah
Object Detection
Overview
Images
586
Dataset
16
Model
2
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
no aug
v30
·
a month ago
grayscale
v29
·
a month ago
80-10-10
v28
·
3 months ago
80-10-10
v26
·
6 months ago
70-20-10
v25
·
6 months ago
70-15-15
v22
·
6 months ago
NEw-840
v19
·
6 months ago
Latest-80-10-10-
v18
·
6 months ago
2024-07-25 6:05am
v14
·
7 months ago
Full class -2
v12
·
7 months ago
Full class -1
v11
·
7 months ago
2024-07-19 1:16am
v5
·
7 months ago
Solar PV Fault Detection-yolov5
v4
·
9 months ago
2024-06-03 8:30pm
v3
·
9 months ago
2024-05-27 9:43pm
v2
·
9 months ago
2024-05-17 12:20am
v1
·
9 months ago
v19
NEw-840
Generated on Aug 8, 2024
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Dataset
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YOLOv11
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YOLOv9
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used with
YOLOv9
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YOLOv8
TXT annotations and YAML config
used with
YOLOv8
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YOLOv5
TXT annotations and YAML config
used with
YOLOv5
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YOLOv7
TXT annotations and YAML config
used with
YOLOv7
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COCO JSON
COCO JSON annotations
are used with
EfficientDet Pytorch
and
Detectron 2
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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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CreateML JSON format
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1301
Total Images
View All Images
Dataset Split
Train Set
80%
1041
Images
Valid Set
10%
130
Images
Test Set
10%
130
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Fit within 840x840
Auto-Adjust Contrast:
Using Contrast Stretching
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Rotation:
Between -15° and +15°
Shear:
±10° Horizontal, ±10° Vertical
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