Dataset Versions
Versions
2023-12-24 1:14pm
v27
· a year ago
2023-12-24 1:14pm
v26
· a year ago
2023-12-24 12:29pm
v25
· a year ago
2023-12-24 7:16am
v24
· a year ago
2023-12-23 9:57pm
v23
· a year ago
2023-12-22 4:24pm
v22
· a year ago
2023-12-22 4:17pm
v21
· a year ago
2class no aug fitin
v20
· a year ago
3class no aug fitin
v19
· a year ago
4class no aug fitin
v18
· a year ago
3class no aug
v17
· a year ago
2 class no aug
v16
· a year ago
4class no aug
v15
· a year ago
2class no cut
v14
· a year ago
3class no cut off
v13
· a year ago
4class no cutoff
v12
· a year ago
car_motor_truck
v11
· a year ago
CAR_MOTOR
v10
· a year ago
2023-12-16 8:04pm
v9
· a year ago
2023-12-14 9:35pm
v8
· a year ago
2023-12-13 1:03am
v7
· a year ago
1024 no aug
v6
· a year ago
1024 aug
v5
· a year ago
640 aug
v4
· a year ago
2023-12-11 6:33pm
v3
· a year ago
2023-12-11 3:42pm
v2
· a year ago
v27
2023-12-24 1:14pm
Generated on Dec 24, 2023
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.
1172 Total Images
View All Images
Dataset Split
Train Set 88%
1026Images
Valid Set 8%
97Images
Test Set 4%
49Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 1024x1024
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 7.75px