WVU URC Object Detection Data Image Dataset
Versions
URC Dataset v3 - 1280x720
v21
May 15, 2024
URC Dataset v3 - 640x480
v20
May 15, 2024
URC Dataset v3 - 1600x900
v19
May 15, 2024
URC Dataset v2 - 1600x900 No Augmentations
v18
Feb 14, 2024
URC Dataset v2 - 1280x720 No Augmentations
v17
Feb 14, 2024
URC Dataset v2 - 1920x1080 No Augmentations
v16
Feb 5, 2024
URC Dataset v2- 640x480 No Augmentations
v15
Feb 2, 2024
URC Dataset v1 640x480
v10
Jan 22, 2024
URC Dataset v1 1920x1080
v9
Jan 22, 2024
URC Dataset v1
v8
Dec 2, 2023
v9
URC Dataset v1 1920x1080
Generated on Jan 22, 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.
Other Formats
Choose another format.
519 Total Images
View All Images
Dataset Split
Train Set 71%
370Images
Valid Set 18%
95Images
Test Set 10%
54Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 1920x1080
Augmentations
No augmentations were applied.
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