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parked-car-and-pedestrian/2 (latest)
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Parked car and pedestrian
Object Detection
Overview
Images
255
Dataset
7
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-11-30 2:04am
v7
·
a year ago
2023-11-29 9:11pm
v6
·
a year ago
2023-11-27 2:10pm
v5
·
a year ago
2023-11-27 2:06pm
v4
·
a year ago
2023-11-26 8:53pm
v3
·
a year ago
2023-11-23 8:39am
v2
·
a year ago
2023-11-22 6:49pm
v1
·
a year ago
v2
2023-11-23 8:39am
Generated on Nov 23, 2023
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Dataset
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YOLOv11
TXT annotations and YAML config
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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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633
Total Images
View All Images
Dataset Split
Train Set
88%
555
Images
Valid Set
8%
52
Images
Test Set
4%
26
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Auto-Adjust Contrast:
Using Adaptive Equalization
Augmentations
Outputs per training example:
3
Shear:
±0° Horizontal, ±19° Vertical
Hue:
Between -38° and +38°
Mosaic:
Applied
Bounding Box: Shear:
±0° Horizontal, ±16° Vertical
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