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vehicle-detection-ki6mf/5 (latest)
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vehicle detection
Object Detection
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541
Dataset
22
Model
2
API Docs
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Dataset Versions
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Versions
2024-04-30 7:43pm
v22
·
a year ago
2024-03-23 1:46pm
v21
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a year ago
2024-03-22 12:26pm
v20
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a year ago
2024-01-09 3:23pm
v19
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a year ago
2024-01-09 2:04pm
v18
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a year ago
2024-01-08 12:13pm
v17
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a year ago
2024-01-07 7:45pm
v16
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a year ago
2024-01-05 11:50am
v15
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a year ago
2024-01-05 2:01am
v14
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a year ago
2024-01-05 12:05am
v13
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a year ago
2024-01-03 9:27pm
v12
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a year ago
2024-01-03 11:38am
v11
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a year ago
2024-01-01 5:45pm
v10
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a year ago
2024-01-01 12:24pm
v9
·
a year ago
2023-12-31 4:59pm
v8
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a year ago
2023-12-29 2:37pm
v7
·
a year ago
2023-12-28 7:04pm
v6
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a year ago
2023-12-27 3:17pm
v5
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a year ago
2023-12-27 11:03am
v4
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a year ago
2023-12-27 9:33am
v3
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a year ago
2023-12-26 6:13pm
v2
·
a year ago
2023-12-26 3:29pm
v1
·
a year ago
v6
2023-12-28 7:04pm
Generated on Dec 28, 2023
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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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270
Total Images
View All Images
Dataset Split
Train Set
89%
240
Images
Valid Set
7%
20
Images
Test Set
4%
10
Images
Preprocessing
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Flip:
Horizontal
Rotation:
Between -5° and +5°
Cutout:
9 boxes with 5% size each
Bounding Box: Exposure:
Between -5% and +5%
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