TRY THIS MODEL
Drop image here to test
iconcar/1 (latest)
Versions
2024-10-19 8:58am
v10
·
4 months ago
2024-09-09 9:51am
v9
·
6 months ago
2024-09-09 9:46am
v8
·
6 months ago
2024-06-11 11:17am
v7
·
9 months ago
2024-05-26 11:11pm
v6
·
9 months ago
2024-05-26 10:13pm
v5
·
9 months ago
2024-05-26 9:50pm
v4
·
9 months ago
2024-05-24 8:15am
v3
·
9 months ago
2024-04-17 2:21pm
v2
·
10 months ago
2023-08-14 8:55am
v1
·
2 years ago
v10
2024-10-19 8:58am
Generated on
Oct 19, 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.
1595 Total Images
View All Images
Dataset Split
Train
Set
87%
1395Images
Valid
Set
8%
131Images
Test
Set
4%
69Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example:
3
Rotation:
Between -14° and +14°
Shear:
±7° Horizontal, ±11° Vertical
Grayscale:
Apply to 18% of images
Saturation:
Between -34% and +34%
Brightness:
Between -25% and +25%
Exposure:
Between -15% and +15%
Noise:
Up to 0.38% of pixels
Mosaic:
Applied
Bounding Box: Brightness:
Between -15% and +15%
Bounding Box: Blur:
Up to 0.3px
