TRY THIS MODEL
Drop image here to test
vehicle-detection-ki6mf/5 (latest)
Versions
2024-04-30 7:43pm
v22
·
a year ago
2024-03-23 1:46pm
v21
·
a year ago
2024-03-22 12:26pm
v20
·
a year ago
2024-01-09 3:23pm
v19
·
a year ago
2024-01-09 2:04pm
v18
·
a year ago
2024-01-08 12:13pm
v17
·
a year ago
2024-01-07 7:45pm
v16
·
a year ago
2024-01-05 11:50am
v15
·
a year ago
2024-01-05 2:01am
v14
·
a year ago
2024-01-05 12:05am
v13
·
a year ago
2024-01-03 9:27pm
v12
·
a year ago
2024-01-03 11:38am
v11
·
a year ago
2024-01-01 5:45pm
v10
·
a year ago
2024-01-01 12:24pm
v9
·
a year ago
2023-12-31 4:59pm
v8
·
a year ago
2023-12-29 2:37pm
v7
·
a year ago
2023-12-28 7:04pm
v6
·
a year ago
2023-12-27 3:17pm
v5
·
a year ago
2023-12-27 11:03am
v4
·
a year ago
2023-12-27 9:33am
v3
·
a year ago
2023-12-26 6:13pm
v2
·
a year ago
2023-12-26 3:29pm
v1
·
a year ago
v6
2023-12-28 7:04pm
Generated on
Dec 28, 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.
270 Total Images
View All Images
Dataset Split
Train
Set
89%
240Images
Valid
Set
7%
20Images
Test
Set
4%
10Images
Preprocessing
Resize:
Stretch to 640x640
Augmentations
Outputs per training example:
3
Flip:
Horizontal
Rotation:
Between -5° and +5°
Cutout:
9 boxes with 5% size each
Bounding Box: Exposure:
Between -5% and +5%