Sofa, Table, Cupboard, Fire, Window, Knife, Gun, Indoor Image Dataset
Versions
v1
2024-02-22 11:10am
Generated on Feb 22, 2024
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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.
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8203 Total Images
View All Images
Dataset Split
Train Set 85%
6992Images
Valid Set 15%
1211Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
No augmentations were applied.
indoor-object
5226 images
house-interior-500
6412 images
interior-items-100
1310 images
g
4321 images
tv
4321 images