Highway Object Detection Image Dataset
Versions
2023-02-01 9:02pm
v40
Feb 1, 2023
2023-02-01 2:38pm
v39
Feb 1, 2023
2023-01-31 3:56pm
v38
Jan 31, 2023
2023-01-31 3:11pm
v37
Jan 31, 2023
2023-01-29 11:55pm
v36
Jan 29, 2023
2023-01-29 11:20pm
v35
Jan 29, 2023
2023-01-29 8:43pm
v34
Jan 29, 2023
2023-01-29 10:58am
v33
Jan 29, 2023
2023-01-29 1:44am
v32
Jan 28, 2023
2023-01-29 12-49am - bus v1
v31
Jan 28, 2023
2023-01-28 10:15pm
v30
Jan 28, 2023
2023-01-27 12:08am
v29
Jan 26, 2023
2023-01-26 11:52pm
v28
Jan 26, 2023
2023-01-26 11:07pm
v27
Jan 26, 2023
2023-01-26 9:58pm
v26
Jan 26, 2023
2023-01-26 3:48pm
v25
Jan 26, 2023
Cleaning_YOLOv5_25_01_2023
v24
Jan 25, 2023
2023-01-25 1:46am
v23
Jan 24, 2023
2023-01-25 1:21am
v22
Jan 24, 2023
Cleaning-v2
v21
Jan 24, 2023
Cleaning-v1
v20
Jan 24, 2023
2023-01-19 9:07pm
v19
Jan 19, 2023
Augmented v3
v17
Dec 29, 2022
Horizontal-Flip-Fit-in-black 0.80
v16
Dec 28, 2022
Augmented-v2 0.58
v15
Dec 28, 2022
Augmented-v1 0.63
v14
Dec 28, 2022
2022-12-27 11-34pm -0.63
v12
Dec 27, 2022
2022-12-22 10:42pm
v11
Dec 22, 2022
2022-12-21 3:53pm
v10
Dec 21, 2022
Cloned v2
v9
Dec 21, 2022
Cloned v1
v8
Dec 20, 2022
2022-12-20 4:11pm
v7
Dec 20, 2022
2022-12-20 1:36pm
v6
Dec 20, 2022
2022-12-19 5:16pm
v5
Dec 19, 2022
2022-12-16 11:37pm
v3
Dec 16, 2022
2022-12-16 12-40pm
v2
Dec 16, 2022
2022-12-15 7:00pm
v1
Dec 15, 2022
v17
Augmented v3
Generated on Dec 29, 2022
Popular Download Formats
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.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
3452 Total Images
View All Images
Dataset Split
Train Set 82%
2844Images
Valid Set 12%
406Images
Test Set 6%
202Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Modify Classes: 5 remapped, 0 dropped
Augmentations
Outputs per training example: 2
Flip: Horizontal
Grayscale: Apply to 10% of images
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 0.5px
Noise: Up to 5% of pixels
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