yolov8_detection plates Image Dataset
Versions
2023-09-08 11:26am
v39
Sep 8, 2023
2023-09-07 9:11pm
v38
Sep 7, 2023
2023-09-07 3:44pm
v37
Sep 7, 2023
2023-09-07 3:43pm
v36
Sep 7, 2023
2023-09-07 3:42pm
v35
Sep 7, 2023
2023-09-07 3:39pm
v34
Sep 7, 2023
2023-09-07 3:39pm
v33
Sep 7, 2023
2023-09-07 3:38pm
v32
Sep 7, 2023
2023-09-07 3:37pm
v31
Sep 7, 2023
2023-09-07 3:36pm
v30
Sep 7, 2023
2023-09-07 3:35pm
v29
Sep 7, 2023
2023-09-07 3:34pm
v28
Sep 7, 2023
2023-09-07 3:33pm
v27
Sep 7, 2023
2023-09-07 3:30pm
v26
Sep 7, 2023
2023-09-07 3:29pm
v25
Sep 7, 2023
2023-09-07 3:29pm
v24
Sep 7, 2023
2023-09-07 3:28pm
v23
Sep 7, 2023
2023-09-07 3:27pm
v22
Sep 7, 2023
2023-09-07 3:27pm
v21
Sep 7, 2023
2023-09-07 3:26pm
v20
Sep 7, 2023
2023-09-07 3:25pm
v19
Sep 7, 2023
2023-09-07 2:43pm
v18
Sep 7, 2023
2023-09-07 2:42pm
v17
Sep 7, 2023
2023-09-07 2:41pm
v16
Sep 7, 2023
2023-09-07 2:41pm
v15
Sep 7, 2023
2023-09-07 2:29pm
v14
Sep 7, 2023
2023-09-07 2:08pm
v13
Sep 7, 2023
2023-09-05 1:43pm
v12
Sep 5, 2023
2023-09-05 1:41pm
v11
Sep 5, 2023
2023-09-05 1:40pm
v10
Sep 5, 2023
2023-09-05 1:39pm
v9
Sep 5, 2023
2023-09-05 1:39pm
v8
Sep 5, 2023
2023-09-05 1:39pm
v7
Sep 5, 2023
2023-09-05 1:39pm
v6
Sep 5, 2023
2023-09-05 1:39pm
v5
Sep 5, 2023
2023-09-05 1:39pm
v4
Sep 5, 2023
2023-09-05 1:38pm
v3
Sep 5, 2023
2023-09-05 1:36pm
v2
Sep 5, 2023
2023-09-05 1:29pm
v1
Sep 5, 2023
v26
2023-09-07 3:30pm
Generated on Sep 7, 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.
124 Total Images
View All ImagesDataset Split
Train Set 69%
86Images
Valid Set 22%
27Images
Test Set 9%
11Images
Preprocessing
Auto-Orient: Applied
Static Crop: 34-60% Horizontal Region, 40-67% Vertical Region
Resize: Stretch to 520x320
Grayscale: Applied
Augmentations
No augmentations were applied.
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