Dataset Versions
Versions
2024-08-31 11:32am
v28
· 2 months ago
2024-08-30 10:08pm
v27
· 2 months ago
2024-08-29 5:20pm
v26
· 2 months ago
2024-08-26 1:46pm
v25
· 2 months ago
2024-08-24 2:43pm
v24
· 2 months ago
Vehicle Detection5
v23
· 3 months ago
2024-07-21 12:18pm
v22
· 3 months ago
2024-07-20 4:01pm
v21
· 3 months ago
2024-07-20 10:54am
v20
· 3 months ago
2024-07-20 10:24am
v19
· 3 months ago
Vehicle Detection4
v18
· 4 months ago
Vehicle Detection3
v17
· 4 months ago
2024-07-09 9:34pm
v16
· 4 months ago
2024-07-09 1:15pm
v15
· 4 months ago
Vehicle Detection2
v14
· 4 months ago
Vehicle Detection
v13
· 4 months ago
2024-07-07 12:36pm
v12
· 4 months ago
2024-07-07 10:28am
v11
· 4 months ago
2024-07-07 9:43am
v10
· 4 months ago
2024-07-06 10:50pm
v9
· 4 months ago
2024-07-06 2:11pm
v8
· 4 months ago
2024-07-06 10:27am
v7
· 4 months ago
firetruck and car
v6
· 4 months ago
2024-07-05 12:55pm
v5
· 4 months ago
2024-07-05 12:42pm
v4
· 4 months ago
firetruck
v3
· 4 months ago
2024-07-05 10:45am
v2
· 4 months ago
v28
2024-08-31 11:32am
Generated on Aug 31, 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.
7079 Total Images
View All ImagesDataset Split
Train Set 88%
6195Images
Valid Set 8%
589Images
Test Set 4%
295Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±27° Horizontal, ±27° Vertical