Dataset Versions

Try Pre-Trained Model

2022-10-30 8:55pm

2022-10-30 4:18pm

2022-10-30 4:10pm

2022-10-30 3:28pm

2022-10-30 3:14pm

2022-10-30 11:46am

2022-10-30 11:34am

2022-10-30 11:34am

2022-10-30 11:11am

2022-10-30 2:11am

2022-10-30 1:50am

2022-10-30 1:24am

2022-10-30 1:13am

2022-10-30 1:09am

2022-10-30 12:56am

2022-10-30 12:23am

2022-10-30 12:22am

2022-10-30 12:22am

2022-10-29 11:52pm

2022-10-29 11:23pm

2022-10-29 11:23pm

2022-10-29 11:00pm

2022-10-29 10:54pm

2022-10-29 10:54pm

2022-10-29 10:37pm

2022-10-29 10:11pm

2022-10-29 9:45pm

2022-10-29 12:06am

2022-10-28 11:45pm

2022-10-28 11:40pm

2022-10-28 11:31pm

2022-10-28 11:08pm

2022-10-28 10:48pm

2022-10-28 10:08pm

2022-10-28 10:00pm

2022-10-28 9:39pm

2022-10-28 9:36pm

2022-10-28 9:31pm

2022-10-28 9:27pm

2022-10-28 9:14pm

2022-10-28 8:37pm

2022-10-28 8:26pm

2022-10-28 6:00pm

2022-10-28 5:36pm

2022-10-28 5:18pm

2022-10-28 2:45pm

2022-10-28 2:28pm

2022-10-28 7:57am

2022-10-28 7:34am

2022-10-28 7:12am

2022-10-28 12:23am

2022-10-28 12:14am

2022-10-28 12:06am

2022-10-27 11:52pm

2022-10-27 11:50pm

2022-10-27 11:48pm

2022-10-27 11:37pm

2022-10-27 11:09pm

2022-10-27 11:02pm

2022-10-27 10:44pm

2022-10-27 10:40pm

2022-10-27 10:24pm

2022-10-27 10:08pm

2022-10-27 10:07pm

2022-10-27 9:49pm

2022-10-27 9:42pm

2022-10-27 8:32pm

2022-10-27 8:17pm

2022-10-27 7:54pm

2022-10-27 7:24pm

2022-10-27 7:13pm

2022-10-27 6:57pm

2022-10-27 6:34pm

2022-10-27 5:40pm

2022-10-27 5:15pm

2022-10-27 4:34pm

2022-10-27 2:37pm

2022-10-27 2:15pm

2022-10-27 11:10am

2022-10-26 11:18pm

2022-10-26 10:58pm

2022-10-26 10:44pm

2022-10-26 10:33pm

2022-10-26 10:29pm

2022-10-26 10:10pm

2022-10-26 10:09pm

2022-10-26 9:55pm

2022-10-26 9:34pm

2022-10-26 9:17pm

2022-10-26 8:59pm

2022-10-26 8:54pm

2022-10-26 8:43pm

2022-10-26 8:43pm

2022-10-26 8:32pm

2022-10-26 8:23pm

2022-10-26 7:58pm

2022-10-26 7:41pm

2022-10-26 7:25pm

2022-10-26 7:24pm

2022-10-26 7:15pm

2022-10-26 7:11pm

2022-10-26 7:08pm

2022-10-26 6:53pm

2022-10-26 6:43pm

2022-10-26 6:43pm

2022-10-26 6:36pm

2022-10-26 6:34pm

2022-10-26 6:19pm

2022-10-26 5:54pm

2022-10-26 5:45pm

2022-10-26 5:45pm

2022-10-26 5:44pm

2022-10-26 5:39pm

2022-10-26 5:35pm

2022-10-26 5:34pm

2022-10-26 5:31pm

2022-10-26 5:27pm

2022-10-26 5:02pm

2022-10-26 5:01pm

2022-10-26 4:57pm

2022-10-26 4:57pm

2022-10-26 4:56pm

2022-10-26 4:55pm

2022-10-26 4:51pm

2022-10-26 4:43pm

2022-10-26 4:40pm

2022-10-26 4:37pm

2022-10-26 4:35pm

2022-10-26 4:35pm

2022-10-26 4:32pm

2022-10-26 4:30pm

2022-10-26 4:30pm

2022-10-26 4:30pm

2022-10-26 4:30pm

2022-10-26 4:29pm

2022-10-26 4:25pm

2022-10-26 4:24pm

2022-10-26 4:19pm

2022-10-26 4:12pm

2022-10-26 4:05pm

2022-10-26 3:31pm

2022-10-26 3:26pm

2022-10-26 3:21pm

2022-10-26 1:08am

2022-10-26 12:55am

2022-10-26 12:17am

2022-10-25 11:54pm

2022-10-25 11:23pm

2022-10-25 11:05pm

2022-10-25 10:14pm

2022-10-25 10:14pm

2022-10-25 10:11pm

2022-10-25 9:24pm

2022-10-25 9:19pm

2022-10-25 9:07pm

2022-10-25 8:39pm

2022-10-25 8:05pm

2022-10-25 7:29pm

2022-10-25 7:17pm

2022-10-25 7:04pm

2022-10-25 7:00pm

2022-10-25 6:54pm

2022-10-25 6:13pm

2022-10-25 5:31pm

2022-10-25 4:59pm

2022-10-25 3:48pm

2022-10-25 3:14pm

2022-10-25 3:00pm

2022-10-25 2:21pm

2022-10-25 1:35pm

2022-10-25 1:34pm

2022-10-25 12:53pm

2022-10-25 12:42pm

2022-10-25 12:26pm

2022-10-25 12:17pm

2022-10-25 11:45am

2022-10-25 10:25am

2022-10-25 9:51am

2022-10-25 1:31am

2022-10-25 1:13am

2022-10-25 1:05am

2022-10-25 12:22am

2022-10-24 11:33pm

2022-10-24 5:10pm

2022-10-24 5:00pm

2022-10-24 4:15pm

2022-10-24 2:54pm

2022-10-24 1:18pm

2022-10-24 12:40pm

2022-10-24 12:15pm

2022-10-24 12:09pm

2022-10-24 11:44am

2022-10-24 11:41am

2022-10-24 8:00am

2022-10-24 7:53am

2022-10-24 7:44am

2022-10-24 7:34am

2022-10-24 1:40am

2022-10-24 1:06am

2022-10-24 12:16am

2022-10-24 12:13am

2022-10-23 11:52pm

2022-10-23 11:33pm

2022-10-23 11:18pm

2022-10-23 11:03pm

2022-10-23 10:53pm

2022-10-23 10:31pm

2022-10-23 10:21pm

2022-10-23 10:10pm

2022-10-23 10:02pm

2022-10-23 10:00pm

2022-10-23 9:53pm

2022-10-23 9:25pm

2022-10-23 9:14pm

2022-10-23 9:14pm

2022-10-23 8:27pm

2022-10-23 6:08pm

2022-10-23 2:12pm

2022-10-23 1:04pm

2022-10-23 12:43pm

2022-10-23 12:06pm

2022-10-23 12:02pm

2022-10-23 11:33am

2022-10-23 11:23am

2022-10-23 10:57am

2022-10-23 9:58am

2022-10-23 9:07am

2022-10-23 12:52am

2022-10-23 12:48am

2022-10-23 12:44am

2022-10-23 12:38am

2022-10-23 12:19am

2022-10-23 12:09am

2022-10-23 12:00am

2022-10-22 11:58pm

2022-10-22 11:42pm

2022-10-22 11:30pm

2022-10-22 11:24pm

2022-10-22 11:14pm

2022-10-22 11:08pm

2022-10-22 11:04pm

2022-10-22 10:59pm

2022-10-22 10:55pm

2022-10-22 10:39pm

2022-10-22 10:23pm

2022-10-22 9:58pm

2022-10-22 9:45pm

2022-10-22 9:29pm

2022-10-22 9:16pm

2022-10-22 8:29pm

2022-10-22 7:51pm

2022-10-22 7:20pm

2022-10-22 4:24pm

2022-10-22 4:08pm

2022-10-22 3:46pm

2022-10-22 3:43pm

2022-10-22 3:25pm

2022-10-22 3:06pm

2022-10-22 1:29am

2022-10-22 12:55am

2022-10-22 12:12am

2022-10-22 12:12am

2022-10-21 11:53pm

2022-10-21 11:42pm

2022-10-21 11:25pm

2022-10-21 11:13pm

2022-10-21 11:00pm

2022-10-21 10:45pm

2022-10-21 10:33pm

2022-10-21 10:23pm

2022-10-21 8:55pm

2022-10-21 8:53pm

2022-10-21 8:26pm

2022-10-21 8:03pm

2022-10-21 7:41pm

2022-10-21 7:16pm

2022-10-21 7:01pm

2022-10-21 5:43pm

2022-10-21 5:32pm

2022-10-21 5:28pm

2022-10-20 10:15pm

2022-10-20 10:05pm

2022-10-20 9:50pm

2022-10-20 9:36pm

2022-10-20 9:20pm

2022-10-20 9:10pm

2022-10-20 8:55pm

2022-10-20 7:47pm

2022-10-20 7:34pm

2022-10-20 7:23pm

2022-10-20 7:17pm

2022-10-20 7:02pm

2022-10-20 12:26pm

2022-10-20 12:08pm

2022-10-20 11:48am

2022-10-19 10:37pm

2022-10-19 10:21pm

2022-10-19 10:08pm

2022-10-19 9:50pm

2022-10-19 9:13pm

2022-10-19 8:59pm

2022-10-19 8:40pm

2022-10-19 7:23pm

2022-10-19 7:07pm

v232

2022-10-27 6:34pm

Generated on Oct 27, 2022

Download Dataset

Popular Download Formats

TXT annotations and YAML config used with YOLOv11.

TXT annotations and YAML config used with YOLOv9.

TXT annotations and YAML config used with YOLOv8.

TXT annotations and YAML config used with YOLOv5.

TXT annotations and YAML config used with YOLOv7.

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

Choose another format.

2698 Total Images

View All Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 416x416

Augmentations

No augmentations were applied.

Similar Projects

Object Detection

Weed Detection In Cotton fields KBS Mel

4.8k images

Object Detection

Weed Detection In Cotton fields 111

4.8k images

Object Detection Model yolov8 yolov8s snap

Cotton Weed Detection Final Year Project

3.3k images 1 model

Object Detection Model snap

Cotton Weed Detection Cotton Weed Detection Model

3.3k images 1 model

Object Detection Model

Object (Weed)Detection in Cotton Fields KBS Mel

1.5k images 2 models