Dataset Versions
Versions
2023-06-19 1:01am
v26
· 2 years ago
2023-06-19 12:57am
v25
· 2 years ago
2023-06-19 12:50am
v24
· 2 years ago
2023-06-19 12:50am
v23
· 2 years ago
2023-06-19 12:48am
v22
· 2 years ago
2023-06-19 12:42am
v21
· 2 years ago
2023-06-19 12:40am
v20
· 2 years ago
2023-06-14 7:25pm
v19
· 2 years ago
2023-06-12 5:13am
v18
· 2 years ago
2023-06-11 11:07pm
v17
· 2 years ago
2023-06-11 11:05pm
v16
· 2 years ago
2023-06-11 10:11pm
v15
· 2 years ago
2023-06-11 8:44pm
v14
· 2 years ago
2023-06-11 2:29pm
v13
· 2 years ago
2023-06-11 1:00pm
v12
· 2 years ago
2023-06-11 12:51pm
v11
· 2 years ago
2023-06-08 4:49pm
v10
· 2 years ago
Original 126
v8
· 2 years ago
126 - Greyscale - 720x1024
v7
· 2 years ago
2023-06-07 5:56pm
v4
· 2 years ago
2023-06-07 1:09pm
v1
· 2 years ago
v22
2023-06-19 12:48am
Generated on Jun 19, 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.
958 Total Images
View All Images
Dataset Split
Train Set 93%
888Images
Valid Set 5%
50Images
Test Set 2%
20Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Modify Classes: 4 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 2px
Mosaic: Applied