Dataset Versions
Versions
raw-images_latestversion
v30
· 2 years ago
2023-04-18 11:09pm
v29
· 2 years ago
YOLOv5s
v28
· 2 years ago
YOLOv8s
v27
· 2 years ago
v1-ACCURATE-Machinery-aug5xMosaic
v25
· 2 years ago
v9-LabelAssist_plusVehicles-Machinery-aug5xMosaic
v24
· 2 years ago
v8-LabelAssist_plusVehicles-aug5xMosaic
v23
· 2 years ago
v8-LabelAssist_plusVehicles-Machinery-aug5xMosaic
v22
· 2 years ago
resized640_forLABEL-ASSIST-aug5x_mosaic
v7
· 2 years ago
original_raw-images
v1
· 2 years ago
v28
YOLOv5s
Generated on Feb 1, 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.
2801 Total Images
View All Images
Dataset Split
Train Set 93%
2605Images
Valid Set 4%
114Images
Test Set 3%
82Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 12 remapped, 4 dropped
Augmentations
Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 0.5px
Cutout: 6 boxes with 2% size each
Mosaic: Applied