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vehicle-detection-ki6mf/5 (latest)
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2024-04-30 7:43pm
v22
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a year ago
2024-03-23 1:46pm
v21
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2024-03-22 12:26pm
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2024-01-09 3:23pm
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2024-01-03 9:27pm
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v9
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2023-12-31 4:59pm
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2023-12-29 2:37pm
v7
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2023-12-28 7:04pm
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2023-12-27 3:17pm
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2023-12-27 11:03am
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2023-12-27 9:33am
v3
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2023-12-26 6:13pm
v2
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v1
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a year ago
v9
2024-01-01 12:24pm
Generated on
Jan 1, 2024
Popular Download Formats
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 is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
600 Total Images
View All Images
Dataset Split
Train
Set
89%
534Images
Valid
Set
7%
43Images
Test
Set
4%
23Images
Preprocessing
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Flip:
Horizontal
Rotation:
Between -7° and +7°
Cutout:
5 boxes with 2% size each
Bounding Box: Crop:
0% Minimum Zoom, 5% Maximum Zoom
Bounding Box: Exposure:
Between -2% and +2%