Dataset Versions
Versions
Version06
v27
· 8 months ago
Model version 05
v25
· a year ago
Model version 04
v20
· a year ago
Model version 03
v19
· a year ago
Model version 02
v18
· a year ago
Model version 01
v17
· a year ago
2023-08-10 11:22pm
v16
· a year ago
2023-08-10 11:00pm
v15
· a year ago
2023-08-10 6:31pm
v12
· a year ago
2023-08-05 7:34pm
v11
· a year ago
2023-08-02 12:01am
v7
· a year ago
v12
2023-08-10 6:31pm
Generated on Aug 10, 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.
18508 Total Images
View All Images
Dataset Split
Train Set 81%
15054Images
Valid Set 12%
2258Images
Test Set 6%
1196Images
Preprocessing
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 2
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -53% and +53%
Brightness: Between -38% and +38%
Blur: Up to 2.25px
Noise: Up to 8% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Exposure: Between -25% and +25%