Dataset Versions
Versions
2023-12-02 8:27am
v23
· a year ago
2023-11-30 2:35am
v22
· a year ago
2023-10-25 8:06pm
v21
· a year ago
2023-09-25 12:48am
v20
· a year ago
2023-09-12 11:58am
v19
· a year ago
2023-09-12 11:52am
v18
· a year ago
2023-09-05 1:26pm
v17
· a year ago
2023-08-23 10:37pm
v16
· a year ago
2023-08-23 9:46pm
v15
· a year ago
2023-08-23 9:42pm
v14
· a year ago
2023-08-23 7:10pm
v13
· a year ago
2023-08-23 6:28pm
v12
· a year ago
2023-08-23 5:29pm
v11
· a year ago
2023-08-23 4:15pm
v10
· a year ago
2023-08-23 3:51pm
v9
· a year ago
2023-08-23 2:16pm
v8
· a year ago
2023-08-23 2:00pm
v5
· a year ago
2023-08-23 2:21am
v4
· a year ago
2023-08-22 11:23pm
v3
· a year ago
2023-08-22 8:04pm
v2
· a year ago
2023-08-22 5:50pm
v1
· a year ago
v5
2023-08-23 2:00pm
Generated on Aug 23, 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.
2088 Total Images
View All Images
Dataset Split
Train Set 89%
1848Images
Valid Set 9%
180Images
Test Set 3%
60Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit (black edges) in 1600x900
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 70% of images
Hue: Between -44° and +44°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -35% and +35%
Blur: Up to 1px
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels