Vehicle Detection Image Dataset
Versions
2023-12-29 11:19pm
v18
Dec 29, 2023
2023-12-29 4:23pm
v14
Dec 29, 2023
2023-09-26 10:47am
v13
Sep 26, 2023
2023-08-11 12:46pm
v12
Aug 11, 2023
2023-08-11 12:13pm
v11
Aug 11, 2023
2023-08-11 11:45am
v10
Aug 11, 2023
2023-07-19 11:39am
v9
Jul 19, 2023
2023-02-28 4:21pm
v8
Feb 28, 2023
2023-02-28 4:06pm
v7
Feb 28, 2023
2023-02-13 10:23pm
v6
Feb 13, 2023
2023-02-13 10:19pm
v5
Feb 13, 2023
2023-02-13 1:07am
v4
Feb 12, 2023
2023-01-06 2:28am
v3
Jan 5, 2023
2023-01-06 12:24am
v2
Jan 5, 2023
2022-12-28 8:55pm
v1
Dec 28, 2022
v9
2023-07-19 11:39am
Generated on Jul 19, 2023
Popular Download Formats
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.
2128 Total Images
View All Images
Dataset Split
Train Set 92%
1962Images
Valid Set 4%
83Images
Test Set 4%
83Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 33% size each
Mosaic: Applied
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