Dataset Versions
Versions
2023-07-02 3:05pm
v22
· a year ago
2023-07-02 2:46pm
v21
· a year ago
2023-07-02 2:10pm
v20
· a year ago
2023-07-02 1:11pm
v19
· a year ago
2023-07-02 10:40am
v18
· a year ago
2023-07-02 10:18am
v17
· a year ago
2023-07-02 8:59am
v16
· a year ago
2023-07-02 8:38am
v15
· a year ago
2023-07-02 8:18am
v14
· a year ago
2023-07-02 8:11am
v13
· a year ago
2023-07-02 8:00am
v12
· a year ago
2023-07-02 7:15am
v11
· a year ago
2023-07-01 12:06am
v10
· a year ago
2023-06-29 4:56pm
v9
· a year ago
2023-06-27 2:13pm
v7
· a year ago
2023-06-26 4:03pm
v6
· a year ago
2023-06-26 3:34pm
v5
· a year ago
2023-06-26 3:22pm
v4
· a year ago
2023-06-26 12:03pm
v3
· a year ago
2023-06-26 11:33am
v2
· a year ago
2023-06-26 11:30am
v1
· a year ago
v9
2023-06-29 4:56pm
Generated on Jun 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.
4436 Total Images
View All Images
Dataset Split
Train Set 85%
3780Images
Valid Set 4%
164Images
Test Set 11%
492Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -41% and +41%
Blur: Up to 7.75px
Noise: Up to 5% of pixels