PLR Dataset
Versions
2023-05-16 11:58pm
v12
· a year ago
2023-05-16 11:42pm
v11
· a year ago
2023-05-16 2:12pm
v10
· a year ago
2023-05-16 1:46pm
v9
· a year ago
2023-05-14 7:10pm
v8
· a year ago
2023-05-14 7:07pm
v7
· a year ago
2023-05-14 7:04pm
v6
· a year ago
2023-05-14 6:41pm
v5
· a year ago
2023-05-14 6:40pm
v4
· a year ago
2023-05-14 10:11am
v3
· a year ago
2023-05-14 8:49am
v2
· a year ago
2023-05-14 8:41am
v1
· a year ago
v1
2023-05-14 8:41am
Generated on May 14, 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.
632 Total Images
View All Images
Dataset Split
Train Set 87%
552Images
Valid Set 8%
52Images
Test Set 4%
28Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require at least 95% of images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 43% Maximum Zoom
Cutout: 15 boxes with 15% size each