INDISCON_2023 Image Dataset
Versions
YOLOv8 version
v12
Apr 22, 2023
2023-04-22 2:20pm
v11
Apr 22, 2023
2023-04-10 8:14pm
v10
Apr 10, 2023
2023-04-10 8:09pm
v9
Apr 10, 2023
2023-04-09 9:04am
v8
Apr 9, 2023
2023-04-08 7:03pm
v7
Apr 8, 2023
2023-04-08 6:56pm
v6
Apr 8, 2023
2023-04-08 6:56pm
v5
Apr 8, 2023
2023-04-08 6:56pm
v4
Apr 8, 2023
2023-04-08 6:56pm
v3
Apr 8, 2023
2023-04-08 6:56pm
v2
Apr 8, 2023
2023-04-08 6:44pm
v1
Apr 8, 2023
v11
2023-04-22 2:20pm
Generated on Apr 22, 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.
14474 Total Images
View All Images
Dataset Split
Train Set 90%
13023Images
Valid Set 6%
864Images
Test Set 4%
587Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Brightness: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Blur: Up to 6px
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