Dataset Versions
Versions
019
v21
· 2 years ago
008
v20
· 2 years ago
007
v19
· 2 years ago
006
v18
· 2 years ago
005
v17
· 2 years ago
004
v16
· 2 years ago
003
v15
· 2 years ago
002
v14
· 2 years ago
001
v13
· 2 years ago
2022-11-20 12:34pm
v12
· 2 years ago
2022-11-20 12:30pm
v11
· 2 years ago
2022-11-20 12:11pm
v10
· 2 years ago
2022-11-20 11:41am
v9
· 2 years ago
2022-11-19 6:24pm
v8
· 2 years ago
2022-11-15 5:15pm
v7
· 2 years ago
2022-11-15 3:59pm
v6
· 2 years ago
2022-11-11 12:26pm
v5
· 2 years ago
2022-11-11 12:13pm
v4
· 2 years ago
2022-11-11 11:38am
v3
· 2 years ago
2022-11-11 10:30am
v2
· 2 years ago
2022-11-10 5:27pm
v1
· 2 years ago
v16
004
Generated on Mar 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.
453 Total Images
View All Images
Dataset Split
Train Set 93%
423Images
Valid Set 4%
20Images
Test Set 2%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Modify Classes: 6 remapped, 0 dropped
Filter Null: Require at least 85% of images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Noise: Up to 5% of pixels
Cutout: 15 boxes with 3% size each