Dataset Versions
Versions
2023-02-07 12:02pm
v12
· 2 years ago
2023-02-06 10:39pm
v11
· 2 years ago
2023-02-06 3:02pm
v10
· 2 years ago
2023-02-04 11:33pm
v9
· 2 years ago
2023-01-23 12:16pm
v8
· 2 years ago
Most accurate datasets
v7
· 2 years ago
Least accurate datasets
v6
· 2 years ago
2023-01-23 11:55am
v5
· 2 years ago
2023-01-23 9:13am
v4
· 2 years ago
v9
2023-02-04 11:33pm
Generated on Feb 4, 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.
4143 Total Images
View All Images
Dataset Split
Train Set 76%
3144Images
Valid Set 16%
670Images
Test Set 8%
329Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -30° and +30°
Brightness: Between -24% and +0%
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -27% and +27%