Versions
Versions
2025-11-03 7:20am
v18
1403
Nano
2024-11-13 10:00pm
v17
585
2024-09-24 2:13pm
v16
585
2024-03-28 2:35pm
v15
1403
640x640
Stretch to
2024-03-28 2:32pm
v14
1403
640x640
Stretch to
2024-03-07 11:30am
v13
36
640x640
Stretch to
2023-10-19 9:31am
v12
1400
Fast
car-badge-detection/9
2023-08-22 10:17pm
v11
585
Fast
car-badge-detection/9
2023-07-28 10:36am
v10
1403
640x640
Stretch to
Roboflow 3.0.1
v9
1403
Fast
car-badge-detection/7
Roboflow 3.0
v7
1403
Fast
COCOn
Augmentations 1.1
v6
1403
Augmentations 1.0
v5
1403
Fast
car-badge-detection/1
2023-05-03 11:48am
v4
585
640x640
Stretch to
Tightened bbs and added missing labels
v2
585
Fast
car-badge-detection/1
2023-01-27 5:46pm
v1
585
Fast
car-badge-qa/1
v6
Augmentations 1.1
Generated on May 4, 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.
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1403 Total Images
View All Images
Dataset Split
Train Set 87%
1227Images
Valid Set 8%
117Images
Test Set 4%
59Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -20% and +20%
Blur: Up to 0.75px
Noise: Up to 5% of pixels