car models Image Dataset
Versions
2023-06-01 10:04am
v18
Jun 1, 2023
2023-05-31 11:44am
v16
May 31, 2023
2023-05-31 4:11am
v15
May 30, 2023
2023-05-31 3:59am
v14
May 30, 2023
2023-05-31 3:57am
v13
May 30, 2023
2023-05-31 2:31am
v12
May 30, 2023
2023-05-31 2:28am
v11
May 30, 2023
2023-05-30 8:15pm
v9
May 30, 2023
2023-05-30 8:06pm
v7
May 30, 2023
2023-05-30 4:27pm
v6
May 30, 2023
2023-05-30 4:24pm
v4
May 30, 2023
2023-05-30 1:39pm
v3
May 30, 2023
2023-05-29 10:40pm
v1
May 29, 2023
v14
2023-05-31 3:59am
Generated on May 30, 2023
Popular Download Formats
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.
8150 Total Images
View All Images
Dataset Split
Train Set 80%
6495Images
Valid Set 13%
1084Images
Test Set 7%
571Images
Preprocessing
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 3 rows x 3 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -50% and +50%
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