FYP1: Final Dataset without Dust Image Dataset
v4
GS -AUG-ExposureBrightness
Generated on Oct 21, 2023
Popular Download Formats
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.
2697 Total Images
View All Images
Dataset Split
Train Set 92%
2476Images
Valid Set 5%
147Images
Test Set 3%
74Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Augmentations
Outputs per training example: 2
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Similar Projects
-cracked-soiled-
1688 images
objects
1246 images
TRY
1688 images
Solar
223 images
broken-nonbroken-dirty-6Vim
749 images