Dataset Versions
Versions
2023-04-15 10:17am
v9
· 2 years ago
2023-04-14 5:01pm
v8
· 2 years ago
2023-04-14 2:46pm
v7
· 2 years ago
2023-04-14 2:37pm
v6
· 2 years ago
Scikit - train and test only- some aug
v5
· 2 years ago
Scikit - all training- no aug
v4
· 2 years ago
For scikit - split into test train and valid - some aug
v3
· 2 years ago
For Scikit - All training - some aug
v2
· 2 years ago
for yolo
v1
· 2 years ago
v8
2023-04-14 5:01pm
Generated on Apr 14, 2023
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.
4200 Total Images
View All Images
Dataset Split
Train Set 100%
4200Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Exposure: Between -25% and +25%