Dataset Versions
Versions
Saturation-34-
v11
· 10 months ago
V8 Exposure 15-
v10
· 10 months ago
V8 Exposure 15-
v9
· 10 months ago
V7 Brightness 10-
v7
· 10 months ago
V6 Noise 10-
v6
· 10 months ago
V5 Adaptive Equalisation Histogram
v5
· 10 months ago
V4 Gaussian blur 1px
v4
· 10 months ago
V3 Horizontal shear 5 degree vertical shear 1 degree
v3
· 10 months ago
V2 1 degree rotation
v2
· 10 months ago
V1 Combination
v1
· 10 months ago
v1
V1 Combination
Generated on Jan 19, 2024
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.
984 Total Images
View All Images
Dataset Split
Train Set 100%
984Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 2% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels