Rice_v1 Image Dataset
v3
v2_aug_v3_blur_noise
Generated on Feb 6, 2022
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.
252 Total Images
View All Images
Dataset Split
Train Set 93%
234Images
Valid Set 7%
18Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1056x1056
Augmentations
Outputs per training example: 3
Blur: Up to 7.5px
Noise: Up to 5% of pixels
Similar Projects
Boiled
30 images
rice-grains
48 images
rice-grains-7sqZ
55 images
Basmati-tjTN
47 images
rice-grains-7sqZ-6SCR-D5hS-BVBe-VoHf
144 images