V&P 2022 Dataset
Versions
2022-12-14 6:19pm
v9
· 2 years ago
2022-12-01 4:43pm
v8
· 2 years ago
2022-12-01 4:41pm
v7
· 2 years ago
2022-09-30 5:24pm
v6
· 2 years ago
2022-09-27 5:38pm
v5
· 2 years ago
2022-09-27 5:38pm
v4
· 2 years ago
2022-09-27 5:38pm
v3
· 2 years ago
2022-09-27 5:38pm
v2
· 2 years ago
2022-09-27 5:05pm
v1
· 2 years ago
v9
2022-12-14 6:19pm
Generated on Dec 14, 2022
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
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2433 Total Images
View All Images
Dataset Split
Train Set 87%
2127Images
Valid Set 8%
202Images
Test Set 4%
104Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Blur: Up to 4px
Noise: Up to 10% of pixels
Cutout: 3 boxes with 10% size each