Combine_original_no_enhancement Image Dataset
v1
D. Combined original and no enhancement
Generated on Jun 25, 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.
1020 Total Images
View All Images
Dataset Split
Train Set 70%
719Images
Valid Set 20%
202Images
Test Set 10%
99Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 416x416
Augmentations
No augmentations were applied.
Similar Projects
originalenhance1
1020 images
G-Combined-original-and-enhance
981 images
39noenhance-Originaiimages416by416
936 images
Originaiimages416by416-empty
936 images
dfd-Combinedoriginal-and-enhance35
942 images