Dataset Versions
Versions
same v10- but data bette
v11
· a month ago
add data with lp number
v10
· a month ago
same v7- but add valid for rf train
v9
· 3 months ago
2024-09-21 3-12pm
v7
· 3 months ago
2024-09-17 10:52am
v6
· 3 months ago
2024-09-05 2:25pm
v5
· 4 months ago
2024-08-22 10-01am
v3
· 4 months ago
2024-07-11 5:40pm
v1
· 5 months ago
v9
same v7- but add valid for rf train
Generated on Sep 21, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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.
5315 Total Images
View All Images
Dataset Split
Train Set 90%
4761Images
Valid Set 7%
352Images
Test Set 4%
202Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -13° and +13°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Noise: Up to 0.42% of pixels