Dataset Versions
Versions
2023-02-04 4:44pm
v28
· 2 years ago
2023-02-04 3:19pm
v27
· 2 years ago
2023-02-04 3:07pm
v26
· 2 years ago
2023-02-04 6:36am
v24
· 2 years ago
2023-02-04 6:34am
v23
· 2 years ago
2023-02-04 6:32am
v22
· 2 years ago
2023-02-04 6:31am
v21
· 2 years ago
2023-02-04 6:29am
v20
· 2 years ago
2023-02-04 6:23am
v16
· 2 years ago
2023-02-04 6:20am
v15
· 2 years ago
2023-02-04 6:19am
v14
· 2 years ago
2023-02-04 6:14am
v13
· 2 years ago
2023-02-04 6:11am
v12
· 2 years ago
2023-02-03 11:06pm
v10
· 2 years ago
2023-02-03 11:05pm
v9
· 2 years ago
2023-02-03 11:01pm
v8
· 2 years ago
2023-02-03 10:55pm
v7
· 2 years ago
2023-02-03 10:52pm
v6
· 2 years ago
2023-01-29 1:25pm
v5
· 2 years ago
2023-01-29 12:54pm
v4
· 2 years ago
2023-01-29 12:32pm
v3
· 2 years ago
2023-01-29 12:11pm
v2
· 2 years ago
2023-01-29 2:55am
v1
· 2 years ago
v5
2023-01-29 1:25pm
Generated on Jan 29, 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.
909 Total Images
View All Images
Dataset Split
Train Set 87%
795Images
Valid Set 8%
75Images
Test Set 4%
39Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Saturation: Between -59% and +59%
Brightness: Between -30% and +30%
Exposure: Between -29% and +29%
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical