I4T-U2-CAR Image Dataset
Versions
2024-05-12 12:14pm
v31
May 12, 2024
cars-780-546-117-117-Left-7Adaptive-0-YOLOV9
v24
Apr 23, 2024
cars-780-546-117-117-Left-6-0-YOLOV9
v23
Apr 23, 2024
cars-780-546-117-117-Left-5Fitwithin-0-YOLOV9
v22
Apr 23, 2024
cars-780-546-117-117-Left-5Stretch-0-YOLOV9
v21
Apr 23, 2024
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v20
Apr 23, 2024
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v19
Apr 23, 2024
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v18
Apr 23, 2024
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v17
Apr 23, 2024
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v16
Apr 23, 2024
cars-780-546-117-117-5Fitwithin-0-YOLOV9
v15
Apr 23, 2024
cars-780-546-117-117-7Histogram-0-YOLOV9
v14
Apr 23, 2024
cars-780-546-117-117-7Contrast-0-YOLOV9
v13
Apr 23, 2024
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v12
Apr 22, 2024
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v11
Apr 22, 2024
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v10
Apr 22, 2024
cars-780-546-117-117-7Adaptive-0-YOLOV9
v9
Apr 22, 2024
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v8
Apr 22, 2024
cars-780-546-117-117-5Stretch-0-YOLOV9
v7
Apr 22, 2024
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v6
Apr 22, 2024
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v5
Apr 22, 2024
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v4
Apr 22, 2024
cars-780-546-117-117-1-0-YOLOV9
v3
Apr 22, 2024
cars-780-546-117-117-0-0-YOLOV9
v1
Apr 22, 2024
v14
cars-780-546-117-117-7Histogram-0-YOLOV9
Generated on Apr 23, 2024
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.
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780 Total Images
View All ImagesDataset Split
Train Set 70%
546Images
Valid Set 15%
117Images
Test Set 15%
117Images
Preprocessing
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
No augmentations were applied.
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