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Smart Border Security System
Object Detection
Overview
Images
1514
Dataset
7
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
finalfix_data
v8
·
a year ago
2024-02-21 6:06pm
v7
·
a year ago
final_dataset
v6
·
a year ago
2024-02-12 8:43pm
v5
·
a year ago
2024-02-12 8:42pm
v4
·
a year ago
2024-02-12 8:29pm
v2
·
a year ago
UjiCoba1
v1
·
a year ago
v8
finalfix_data
Generated on Feb 21, 2024
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Dataset
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YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
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
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3269
Total Images
View All Images
Dataset Split
Train Set
81%
2634
Images
Valid Set
10%
319
Images
Test Set
10%
316
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Auto-Adjust Contrast:
Using Histogram Equalization
Augmentations
Outputs per training example:
3
Flip:
Horizontal
Rotation:
Between -10° and +10°
Grayscale:
Apply to 10% of images
Saturation:
Between -20% and +20%
Exposure:
Between -10% and +10%
Noise:
Up to 1.49% of pixels
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